{"id":38,"date":"2025-03-29T18:19:58","date_gmt":"2025-03-29T10:19:58","guid":{"rendered":"http:\/\/106.52.84.14\/?p=38"},"modified":"2025-03-29T18:19:58","modified_gmt":"2025-03-29T10:19:58","slug":"mics%e5%ad%a6%e6%9c%af%e6%b2%99%e9%be%99%e6%b4%bb%e5%8a%a8%ef%bc%9adeepseek%e4%b8%8e%e5%8c%bb%e5%ad%a6%e5%9b%be%e5%83%8f%e8%ae%a1%e7%ae%97","status":"publish","type":"post","link":"https:\/\/www.mics-ai.com\/index.php\/2025\/03\/29\/mics%e5%ad%a6%e6%9c%af%e6%b2%99%e9%be%99%e6%b4%bb%e5%8a%a8%ef%bc%9adeepseek%e4%b8%8e%e5%8c%bb%e5%ad%a6%e5%9b%be%e5%83%8f%e8%ae%a1%e7%ae%97\/","title":{"rendered":"MICS\u5b66\u672f\u6c99\u9f99\u6d3b\u52a8\uff1aDeepSeek\u4e0e\u533b\u5b66\u56fe\u50cf\u8ba1\u7b97"},"content":{"rendered":"\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>\u4e3b\u9898<\/strong><\/td><td>MICS\u5b66\u672f\u6c99\u9f99\u6d3b\u52a8\uff1aDeepSeek\u4e0e\u533b\u5b66\u56fe\u50cf\u8ba1\u7b97<\/td><\/tr><tr><td><strong>\u65f6\u95f4<\/strong><\/td><td>2025\u5e7402\u670815\u65e5\uff08\u661f\u671f\u516d\uff09\u4e0a\u534809:00-12:30\uff08\u5317\u4eac\u65f6\u95f4\uff09<\/td><\/tr><tr><td><strong>\u4e3b\u6301\u4eba<\/strong><\/td><td>\u4f55\u6656\u5149\uff08\u4e2d\u56fd\u79d1\u5b66\u9662\u81ea\u52a8\u5316\u7814\u7a76\u6240\uff09\u738b\u8fde\u751f\uff08\u53a6\u95e8\u5927\u5b66\uff09<\/td><\/tr><tr><td><strong>\u4e3b\u529e\u5355\u4f4d<\/strong><\/td><td>\u533b\u5b66\u56fe\u50cf\u8ba1\u7b97\u9752\u5e74\u7814\u8ba8\u4f1a<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u65e5\u7a0b\u5b89\u6392<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">2025\u5e7402\u670815\u65e5 09:00-12:30<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td>9:00-9:05<\/td><td><strong>\u5f00\u573a<\/strong><strong><\/strong><strong>\u6c88\u5b9a\u521a\u6559\u6388&nbsp;\/&nbsp;\u738b\u8fde\u751f\u6559\u6388<\/strong><\/td><\/tr><tr><td>9:05-9:35<\/td><td><strong>\u62a5\u544a\u9898\u76ee\uff1a<\/strong><strong>\u73b0\u4ee3\u673a\u5668\u5b66\u4e60\u7684\u6570\u7406\u57fa\u7840\u95ee\u9898\u2014\u2014\u4ee5DeepSeek\u4e3a\u4f8b<\/strong>\u5b5f\u5fb7\u5b87\uff08\u897f\u5b89\u4ea4\u901a\u5927\u5b66\uff09<\/td><\/tr><tr><td>9:35-10:05<\/td><td><strong>\u62a5\u544a\u9898\u76ee\uff1a<\/strong><strong>DeepSeek R1 \u4e3a\u533b\u5b66\u6570\u636e\u63a8\u7406\u4e0e\u4fe1\u606f\u6574\u5408\u63d0\u4f9b\u7684\u542f\u53d1\uff1a\u4e34\u5e8a\u51b3\u7b56\u652f\u6301\u65b0\u8303\u5f0f<\/strong>\u674e&nbsp; &nbsp;\u54cd\uff08\u54c8\u4f5b\u5927\u5b66\u3001\u9ebb\u7701\u603b\u533b\u9662\uff09<\/td><\/tr><tr><td>10:05-10:35<\/td><td><strong>\u62a5\u544a\u9898\u76ee\uff1a<\/strong><strong>Think Like o1&amp;R1: Inference-time Scaling for Medical Reasoning<\/strong>\u5f20\u6653\u51e1\uff08\u4e0a\u6d77\u4eba\u5de5\u667a\u80fd\u5b9e\u9a8c\u5ba4\u3001\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff09<strong><\/strong><\/td><\/tr><tr><td>10:35-11:05<\/td><td><strong>\u62a5\u544a\u9898\u76ee\uff1a<\/strong><strong>\u4ece DeepSeek-V3 \u5230 R1\uff1a\u6280\u672f\u6f14\u8fdb\u4e0e\u542f\u793a<\/strong>\u5b59\u5584\u8f89\uff08\u8054\u5f71\u667a\u80fd\uff09<br>\u9ec4\u5a01\u9756\uff08\u8054\u5f71\u667a\u80fd\uff09<\/td><\/tr><tr><td>11:05-11:25<\/td><td><strong>\u62a5\u544a\u9898\u76ee\uff1a<\/strong><strong>DeepSeek\u4e0e\u7ec6\u7c92\u5ea6\u533b\u5b66\u5f71\u50cf\u89c6\u89c9\u8bed\u8a00\u6a21\u578b<\/strong>\u9a86\u529f\u5b81\uff08\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66\uff09<\/td><\/tr><tr><td>11:25-11:45<\/td><td><strong>\u62a5\u544a\u9898\u76ee\uff1a<\/strong><strong>DeepSeek\u4e0e\u533b\u7597\u5927\u6a21\u578b\u53d1\u5c55\u73b0\u72b6\u4e0e\u5c55\u671b<\/strong>\u94b1&nbsp; &nbsp;\u6ce2\uff08\u5357\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66\uff09<\/td><\/tr><tr><td>11:45-12:30<\/td><td><strong>Panel\u8ba8\u8bba<\/strong>1. \u8bf7\u60a8\u63cf\u8ff0\u4e00\u4e0b\u8fd9\u4e00\u6b21\u7684DeepSeek\u6a21\u578b\uff0c\u4e0e\u8fc7\u5f80\u7684\u5927\u6a21\u578b\u6709\u4ec0\u4e48\u533a\u522b\uff1f2. \u5728DeepSeek\u8d4b\u80fd\u4e0b\uff0c\u60a8\u770b\u597d\u54ea\u4e9b\u533b\u7597\u573a\u666f\uff1f\u5177\u4f53\u5982\u4f55\u8d4b\u80fd\u6216\u8005\u7ed3\u5408\uff1f3. \u5982\u4f55\u5728DeepSeek\u52a0\u6301\u4e0b\uff0c\u66f4\u597d\u5730\u5f00\u5c55\u533b\u7597\u9886\u57df\u7684\u7814\u7a76\uff1f4. \u5c55\u671bDeepSeek\u548c\u5927\u6a21\u578b\u7684\u672a\u6765\u53d1\u5c55\u30025. DeepSeek\u7684\u53d1\u5c55\u5bf9\u4e8e\u533b\u5b66\u56fe\u50cf\u8ba1\u7b97\u9886\u57df\u6709\u4ec0\u4e48\u542f\u53d1\u3002<strong>\u5609\u5bbe\uff1a<\/strong><strong>\u4f55\u6656\u5149\u3001\u738b\u4e7e\u3001\u502a\u4e1c\u3001\u5218\u518d\u6bc5\u3001\u590f\u52c7\u3001\u76db\u658c\u3001\u5f3a\u5f66\u3001\u738b\u6d2a\u51ef\u3001\u96f7\u67cf\u82f1<\/strong><strong>\u4e3b\u6301\uff1a\u738b\u8fde\u751f \u6559\u6388<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u62a5\u544a\u5609\u5bbe\u7b80\u4ecb<\/strong><br><img decoding=\"async\" src=\"https:\/\/mmbiz.qpic.cn\/sz_mmbiz_png\/A0QJroknKI5dmjGPXB4iaiaibpv0FFRUvqnqBHPKC7n0iaILvDogjjpazknaqjhQPgiaiaiaicia2ibrhRgmOASz3cukB1mg\/640?wx_fmt=png&amp;from=appmsg&amp;tp=wxpic&amp;wxfrom=5&amp;wx_lazy=1&amp;wx_co=1\" alt=\"\u56fe\u7247\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u5b5f\u5fb7\u5b87&nbsp;\uff08\u897f\u5b89\u4ea4\u901a\u5927\u5b66\uff09<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u62a5\u544a\u9898\u76ee\uff1a\u73b0\u4ee3\u673a\u5668\u5b66\u4e60\u7684\u6570\u7406\u57fa\u7840\u95ee\u9898\u2014\u2014\u4ee5DeepSeek\u4e3a\u4f8b<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u62a5\u544a\u6458\u8981\uff1a<\/strong>\u4ee5\u6df1\u5ea6\u5b66\u4e60\/\u5927\u6a21\u578b\u4e3a\u4ee3\u8868\u7684\u673a\u5668\u5b66\u4e60\u65b9\u6cd5\u4e0e\u6280\u672f\u4e3a\u5f53\u4eca\u79d1\u6280\u9886\u57df\u7684\u7814\u7a76\u7126\u70b9\uff0c\u8fd1\u671fDeepSeek\u4ea7\u54c1\u6027\u80fd\u66f4\u5f15\u8d77\u4e86\u9886\u57df\u5bf9\u4e8e\u673a\u5668\u5b66\u4e60\/\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u5e7f\u6cdb\u5173\u6ce8\u3002\u7136\u800c\uff0c\u76f8\u6bd4\u6280\u672f\u6c34\u5e73\u7684\u8fc5\u731b\u63d0\u5347\uff0c\u673a\u5668\u5b66\u4e60\u57fa\u7840\u7406\u8bba\u7814\u7a76\u8fdb\u5c55\u8fdc\u8fdc\u6ede\u540e\uff0c\u5927\u91cf\u6280\u672f\u7ecf\u9a8c\u53d1\u73b0\u65e0\u6cd5\u627e\u5230\u7406\u8bba\u652f\u6491\uff0c\u4ee5\u79d1\u5b66\u6027\u4e3a\u524d\u63d0\u7684\u5b66\u79d1\u5927\u53a6\u9762\u4e34\u5371\u5c40\u3002\u91cd\u5efa\u673a\u5668\u5b66\u4e60\u7406\u8bba\u4f53\u7cfb\u5df2\u6210\u4e3a\u5f53\u4eca\u91cd\u5927\u79d1\u6280\u524d\u6cbf\u95ee\u9898\u3002\u9488\u5bf9\u8fd9\u4e00\u6311\u6218\uff0c\u672c\u62a5\u544a\u5c06\u4ee5\u6df1\u5ea6\u5b66\u4e60\u4e09\u5927\u6280\u672f\u5b9e\u9a8c\u73b0\u8c61\uff08\u4efb\u52a1\u6cdb\u5316\u80fd\u529b\u3001\u667a\u80fd\u6d8c\u73b0\u73b0\u8c61\u3001\u9c81\u68d2-\u7cbe\u786e\u6096\u8bba\uff09\u7406\u8bba\u5185\u6db5\u4f5c\u4e3a\u5206\u6790\u5bf9\u8c61\uff0c\u4ecb\u7ecd\u672a\u6765\u673a\u5668\u5b66\u4e60\u7406\u8bba\u53ef\u80fd\u53d1\u5c55\u7684\u65b0\u578b\u5b66\u4e60\u3001\u7edf\u8ba1\u4e0e\u7269\u7406\u7406\u8bba\u65b0\u6846\u67b6\uff0c\u4ee5\u53ca\u672c\u7814\u7a76\u7ec4\u5206\u522b\u9488\u5bf9\u901a\u4fe1\u3001\u751f\u547d\u3001\u533b\u7597\u6280\u672f\u9886\u57df\u7684\u573a\u666f\u52a8\u6001\u9002\u5e94\u3001\u751f\u547d\u667a\u80fd\u6d8c\u73b0\u3001\u667a\u80fd\u53ef\u9760\u8bca\u7597\u4e09\u5927\u6280\u672f\u95ee\u9898\u7684\u673a\u5668\u5b66\u4e60\u6570\u5b66\u6280\u672f\u65b9\u9762\u7684\u521d\u6b65\u63a2\u7d22\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u4e2a\u4eba\u7b80\u4ecb\uff1a<\/strong>\u5b5f\u5fb7\u5b87\uff0c\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u6570\u5b66\u4e0e\u7edf\u8ba1\u5b66\u9662\u6559\u6388\uff0c\u5927\u6570\u636e\u5206\u6790\u4e0e\u8ba1\u7b97\u5206\u6790\u5de5\u7a0b\u5b9e\u9a8c\u5ba4\u7edf\u8ba1\u4e0e\u5927\u6570\u636e\u4e2d\u5fc3\u5e38\u52a1\u526f\u4e3b\u4efb\u3002\u957f\u671f\u81f4\u529b\u4e8e\u673a\u5668\u5b66\u4e60\u57fa\u7840\u7406\u8bba\u7684\u7814\u7a76\uff0c\u5728\u673a\u5668\u5b66\u4e60\u76f8\u5173\u9886\u57df\u671f\u520a\u4f1a\u8bae\u53d1\u8868\u8bba\u6587\u767e\u4f59\u7bc7\uff0c\u8c37\u6b4c\u5b66\u672f\u5f15\u7528\u8d85\u8fc734000\u6b21\uff0c\u73b0\u4efbIEEE Trans. PAMI\uff0cNational Science Review\u7b497\u4e2a\u56fd\u5185\u5916\u671f\u520a\u7f16\u59d4\u3002<img decoding=\"async\" src=\"https:\/\/mmbiz.qpic.cn\/sz_mmbiz_png\/A0QJroknKI5dmjGPXB4iaiaibpv0FFRUvqnZ8iamLDibkqLosmO5BLrAGhq3BX5MxOHEbaCUkClfuJ4MoaX8iau5vIZA\/640?wx_fmt=png&amp;from=appmsg&amp;tp=wxpic&amp;wxfrom=5&amp;wx_lazy=1&amp;wx_co=1\" alt=\"\u56fe\u7247\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u674e&nbsp; &nbsp;\u54cd&nbsp;\uff08\u54c8\u4f5b\u5927\u5b66\u3001\u9ebb\u7701\u603b\u533b\u9662\uff09<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u62a5\u544a\u9898\u76ee:&nbsp;DeepSeek R1 \u4e3a\u533b\u5b66\u6570\u636e\u63a8\u7406\u4e0e\u4fe1\u606f\u6574\u5408\u63d0\u4f9b\u7684\u542f\u53d1\uff1a\u4e34\u5e8a\u51b3\u7b56\u652f\u6301\u65b0\u8303\u5f0f<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u62a5\u544a\u6458\u8981\uff1a<\/strong>DeepSeek R1&nbsp;\u5229\u7528\u7b80\u6d01\u6709\u6548\u7684\u8bad\u7ec3\u65b9\u5f0f\u8fbe\u5230\u4e86\u5728\u5176\u53c2\u6570\u6c34\u5e73\u4e0a\u524d\u6240\u672a\u6709\u7684\u6838\u5fc3\u63a8\u7406\u80fd\u529b\uff0c\u5176\u6210\u529f\u4e3a\u6211\u4eec\u5728\u533b\u5b66\u6570\u636e\u548c\u4e34\u5e8a\u51b3\u7b56\u652f\u6301\u7684\u7814\u7a76\u63d0\u4f9b\u4e86\u65b0\u7684\u542f\u53d1\u3002\u6211\u4eec\u4f1a\u7b80\u8981\u56de\u987e\u5927\u8bed\u8a00\u6a21\u578b\u5728\u533b\u7597\u9886\u57df\u7684\u7814\u7a76\u73b0\u72b6\uff0c\u89e3\u6790\u4e3a\u4ec0\u4e48\u201c\u94fe\u5f0f\u63a8\u7406\u201d\u5728\u4e34\u5e8a\u573a\u666f\u4e2d\u81f3\u5173\u91cd\u8981\uff0c\u5e76\u6df1\u5165\u63a2\u8ba8DeepSeek R1&nbsp;\u6240\u91c7\u7528\u7684\u5f3a\u5316\u5b66\u4e60\u4e0e\u957f\u94fe\u63a8\u7406\u673a\u5236\u3002\u968f\u540e\u6211\u4eec\u4f1a\u8ba8\u8bba\u8fd9\u79cd\u65b0\u8303\u5f0f\u4f1a\u5982\u4f55\u5e2e\u52a9AI\u6a21\u578b\u66f4\u51c6\u786e\u5730\u7406\u89e3\u5e76\u6574\u5408\u7535\u5b50\u75c5\u5386\u3001\u5f71\u50cf\u6570\u636e\u3001\u68c0\u6d4b\u7ed3\u679c\u4ee5\u53ca\u5176\u4ed6\u6765\u6e90\u7684\u4fe1\u606f\u3002\u5e76\u7ed3\u5408DeepSeek R1\u7684\u7fa4\u4f53\u76f8\u5bf9\u7b56\u7565\u4f18\u5316\u8bad\u7ec3\u65b9\u5f0f\uff0c\u8ba8\u8bba\u901a\u8fc7\u591a\u8f6e\u7684\u81ea\u6211\u8fdb\u5316\u6765\u6301\u7eed\u4f18\u5316AI\u8bca\u65ad\u5efa\u8bae\u4e0e\u6cbb\u7597\u65b9\u6848\u7684\u53ef\u80fd\u6027\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u4e2a\u4eba\u7b80\u4ecb:&nbsp;<\/strong>\u674e\u54cd\u6559\u6388\u662f\u54c8\u4f5b\u5927\u5b66\u533b\u5b66\u9662\u548c\u9ebb\u7701\u603b\u533b\u9662\u653e\u5c04\u79d1\u7684\u52a9\u7406\u6559\u6388\u3002\u4ed6\u9886\u5bfc\u4e86\u591a\u4e2a\u533b\u5b66\u5f71\u50cf\u3001\u6587\u672c\u5206\u6790\u548c\u591a\u6a21\u6001\u878d\u5408\u9879\u76ee\uff0c\u4e13\u6ce8\u4e8e\u5f00\u53d1\u533b\u7597\u5065\u5eb7\u9886\u57df\u7684\u4eba\u5de5\u667a\u80fd\uff08AI\uff09\u89e3\u51b3\u65b9\u6848\u3002\u674e\u54cd\u6559\u6388\u7684\u7814\u7a76\u4e3b\u8981\u805a\u7126\u5728\u4eba\u5de5\u901a\u7528\u667a\u80fd\uff08AGI\uff09\u5728\u533b\u5b66\u6570\u636e\u7684\u5f00\u53d1\u548c\u5e94\u7528\u4e0a\uff0c\u4ee5\u5e94\u5bf9\u5728\u590d\u6742\u4e34\u5e8a\u73af\u5883\u4e2d\u7684\u5b9e\u9645\u6311\u6218\uff0c\u5305\u62ec\u591a\u673a\u6784\u6570\u636e\u7684\u5f02\u8d28\u6027\u3001\u6a21\u578b\u7684\u53ef\u6269\u5c55\u6027\u548c\u8ba1\u7b97\u9650\u5236\uff0c\u4ee5\u53ca\u4e34\u5e8a\u5de5\u4f5c\u6d41\u7a0b\u7684\u7cfb\u7edf\u96c6\u6210\u3002\u4ed6\u5728\u533b\u5b66\u5f71\u50cf\u548c\u6587\u672c\u5206\u6790\u65b9\u6cd5\u3001\u4eba\u5de5\u667a\u80fd\u8fdb\u884c\u75be\u75c5\u8bca\u65ad\u548c\u68c0\u6d4b\uff0c\u751f\u6210\u5f0f\u4eba\u5de5\u667a\u80fd\uff0c\u4ee5\u53ca\u533b\u7597\u5927\u6570\u636e\u7684\u8ba1\u7b97\u67b6\u6784\u8bbe\u8ba1\u7b49\u4e3b\u9898\u4e0a\u4e8eNature Medicine\uff0cTPAMI\uff0cICML\uff0cACL\u7b49\u671f\u520a\u548c\u4f1a\u8bae\u4e0a\u53d1\u8868\u4e86130\u591a\u7bc7\u6587\u7ae0\uff0c\u5f15\u7528\u8d85\u8fc78000\uff0ch-index\u6307\u657043\u3002\u62c5\u4efb\u5305\u62ecIEEE Transactions on&nbsp;Medical Imaging, IEEE Transactions on&nbsp;Artificial Intelligence\u7b49\u671f\u520a\u7f16\u59d4\uff0c\u5e76\u4e8e2019\u5e74\u8d77\u521b\u529e\u4e86International Workshop on Multiscale Multimodal Medical Imaging\u4f1a\u8bae\u3002\u5176\u5728\u533b\u5b66\u5927\u8bed\u8a00\u6a21\u578b\uff0c\u591a\u6a21\u6001\u533b\u5b66\u6570\u636e\u878d\u5408\uff0c\u4ee5\u53ca\u751f\u6210\u5f0f\u4eba\u5de5\u667a\u80fd\u8f85\u52a9\u7b5b\u67e5\u7b49\u591a\u9879\u7814\u7a76\u83b7\u5f97\u6765\u81ea\u7f8e\u56fd\u56fd\u7acb\u536b\u751f\u7814\u7a76\u9662\uff08NIH\uff09\u7684\u8d44\u52a9\uff0c\u5e76\u83b7\u5f97\u5305\u62ecGoogle Scholar Program Award\uff0cThrall Innovation Grants Award\uff0cNVIDIA Global Impact&nbsp;Award\uff0c\u4ee5\u53ca\u591a\u4e2a\u671f\u520a\u548c\u4f1a\u8bae\u7684Best Paper Award\u5728\u5185\u7684\u591a\u9879\u5956\u9879\u3002<img decoding=\"async\" src=\"https:\/\/mmbiz.qpic.cn\/sz_mmbiz_png\/A0QJroknKI5dmjGPXB4iaiaibpv0FFRUvqnlYZicEdwS1P6Bfp8mkVPFnyUwIRYEesy5n9KwJibp4g0Yafd3ibeV2eJA\/640?wx_fmt=png&amp;from=appmsg&amp;tp=wxpic&amp;wxfrom=5&amp;wx_lazy=1&amp;wx_co=1\" alt=\"\u56fe\u7247\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u5f20\u6653\u51e1&nbsp;\uff08\u4e0a\u6d77\u4eba\u5de5\u667a\u80fd\u5b9e\u9a8c\u5ba4\u3001\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff09<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u62a5\u544a\u9898\u76ee\uff1a<\/strong><strong>Think Like o1&amp;R1: Inference-time Scaling for Medical Reasoning<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u62a5\u544a\u6458\u8981\uff1a<\/strong>OpenAI o1 and DeepSeek R1 have shown their amazing abilities in complex reasoning tasks. Building upon our previous investigations of O1 replication (Part 1: Journey Learning [Qin et al., 2024] and Part 2: Distillation [Huang et al., 2024]), this work explores the potential of inference-time scaling in large language models (LLMs) for medical reasoning tasks, ranging from diagnostic decision-making to treatment planning. Through extensive experiments on medical benchmarks of varying complexity (MedQA, Medbullets, and JAMA Clinical Challenges), our investigation reveals several key insights: (1) Increasing inference time does lead to improved performance. With a modest training set of 500 samples, our model yields substantial performance improvements of 6%-11%. (2) Task complexity directly correlates with the required length of reasoning chains, confirming the necessity of extended thought processes for challenging problems. (3) The differential diagnoses generated by our model adhere to the principles of the hypothetico-deductive method, producing a list of potential conditions that may explain a patient&#8217;s symptoms and systematically narrowing these possibilities by evaluating the evidence. These findings demonstrate the promising synergy between inference-time scaling and journey learning in advancing LLMs&#8217; real-world clinical reasoning capabilities.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u4e2a\u4eba\u7b80\u4ecb:&nbsp;<\/strong>\u5f20\u6653\u51e1\uff0c\u73b0\u4efb\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\u7535\u9662\u6e05\u6e90\u7814\u7a76\u9662\u957f\u8058\u6559\u8f68\u526f\u6559\u6388\uff0c\u535a\u58eb\u751f\u5bfc\u5e08\u3002\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66\u5b66\u58eb\uff0c\u7f8e\u56fd\u5317\u5361\u7f57\u83b1\u7eb3\u5927\u5b66\u590f\u6d1b\u7279\u5206\u6821\u535a\u58eb\u5b66\u4f4d\u3002\u66fe\u4efb\u4eac\u4e1c\u7845\u8c37\u7814\u7a76\u9662\u8ba1\u7b97\u673a\u89c6\u89c9\u7814\u7a76\u5458\u3001\u5546\u6c64\u79d1\u6280\u5317\u7f8e\u667a\u6167\u533b\u7597\u5b9e\u9a8c\u5ba4\u9ad8\u7ea7\u7814\u7a76\u5458\u30022021\u5e746\u6708\u52a0\u5165\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\u6e05\u6e90\u7814\u7a76\u9662\u3002\u7814\u7a76\u9886\u57df\uff1a\u533b\u5b66\u56fe\u50cf\u3001\u6587\u672c\u5206\u6790\uff0c\u591a\u6a21\u6001\u51b3\u7b56\u3002\u5728\u56fd\u9645\u9876\u7ea7\u671f\u520a\u53ca\u4f1a\u8bae\u5982 MedIA\u3001TMI\u3001CVPR\u3001ACL\u3001MICCAI&nbsp;\u7b49\u53d1\u8868\u591a\u7bc7\u8bba\u6587\u3002Google Scholar \u8fd1\u4e94\u5e74\u5f15\u7528\u5343\u4f59\u6b21\u3002\u7533\u62a5\u7f8e\u56fd\u4e13\u52293\u9879\u3002<img decoding=\"async\" src=\"https:\/\/mmbiz.qpic.cn\/sz_mmbiz_png\/A0QJroknKI5dmjGPXB4iaiaibpv0FFRUvqnicqXedMl8az0oQ6H4kQM20b2857ggkYFjUGicpDSwhdicaVsQDiceSQbfA\/640?wx_fmt=png&amp;from=appmsg&amp;tp=wxpic&amp;wxfrom=5&amp;wx_lazy=1&amp;wx_co=1\" alt=\"\u56fe\u7247\"><br><strong>\u5b59\u5584\u8f89\uff08\u8054\u5f71\u667a\u80fd\uff09<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u62a5\u544a\u9898\u76ee\uff1a\u4ece DeepSeek-V3 \u5230 R1\uff1a\u6280\u672f\u6f14\u8fdb\u4e0e\u542f\u793a<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u62a5\u544a\u6458\u8981\uff1a<\/strong>\u8fd1\u5e74\u6765\uff0c\u5927\u89c4\u6a21\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u548c\u5927\u89c4\u6a21\u63a8\u7406\u6a21\u578b\uff08Large Reasoning Model, 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\u7f8e\u56fd\u7231\u8377\u534e\u5927\u5b66\u535a\u58eb\uff0c\u73b0\u4efb\u8054\u5f71\u667a\u80fd\u9ad8\u7ea7\u7814\u53d1\u603b\u76d1\u3002\u5728\u8ba1\u7b97\u673a\u89c6\u89c9\u3001\u4eba\u5de5\u667a\u80fd\u3001\u533b\u5b66\u56fe\u50cf\u5904\u7406\u7b49\u9886\u57df\u5185\u56fd\u9645\u671f\u520a\u548c\u5b66\u672f\u4f1a\u8bae\u4e0a\u53d1\u886840\u4f59\u7bc7\u5b66\u672f\u8bba\u6587\uff0c\u5e76\u62e5\u670980\u4f59\u9879\u7f8e\u56fd\u53d1\u660e\u4e13\u5229\u3002\u4ed6\u7684\u7814\u7a76\u65b9\u5411\u6db5\u76d6\u751f\u6210\u5f0f AI\u3001\u6df1\u5ea6\u5b66\u4e60\u53ca\u5f3a\u5316\u5b66\u4e60\u5728\u533b\u5b66\u5f71\u50cf\u9886\u57df\u7684\u5e94\u7528\uff0c\u7279\u522b\u4e13\u6ce8\u4e8e MRI \u91cd\u5efa\u3001\u56fe\u50cf\u8d28\u91cf\u589e\u5f3a\u3001\u8ba1\u7b97\u673a\u8f85\u52a9\u8bca\u65ad\u3001\u5fc3\u810f MRI 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class=\"wp-block-paragraph\"><strong>\u4e2a\u4eba\u7b80\u4ecb\uff1a<\/strong>\u9ec4\u5a01\u9756\uff0c\u5317\u4eac\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u535a\u58eb\uff0c\u73b0\u4efb\u8054\u5f71\u667a\u80fd\u9ad8\u7ea7\u7814\u53d1\u79d1\u5b66\u5bb6\u3002\u4e13\u6ce8\u4e8e\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4e0e\u5927\u8bed\u8a00\u6a21\u578b\u7684\u7814\u53d1\u4e0e\u5e94\u7528 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alt=\"\u56fe\u7247\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u9a86\u529f\u5b81\uff08\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66\uff09<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u62a5\u544a\u9898\u76ee\uff1aDeepSeek\u4e0e\u7ec6\u7c92\u5ea6\u533b\u5b66\u5f71\u50cf\u89c6\u89c9\u8bed\u8a00\u6a21\u578b<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u62a5\u544a\u6458\u8981\uff1a<\/strong>DeepSeek\u548cChatGPT\u7b49\u5927\u8bed\u8a00\u6a21\u578b\u662f\u5f53\u4eca\u5b66\u672f\u754c\u7684\u70ed\u70b9\u8bdd\u9898\uff0c\u76f8\u5173\u6280\u672f\u4e5f\u4fc3\u8fdb\u4e86\u533b\u5b66\u5f71\u50cf\u8ba1\u7b97\u9886\u57df\u7684\u8fdb\u6b65\uff0c\u5c24\u5176\u662f\u5728\u533b\u5b66\u89c6\u89c9\u8bed\u8a00\u9884\u8bad\u7ec3\uff08VLP\uff09\u65b9\u9762\u7684\u53d1\u5c55\u3002\u5229\u7528\u81ea\u7136\u914d\u5bf9\u7684\u533b\u5b66\u5f71\u50cf\u62a5\u544a\u6570\u636e\u5bf9\u4e8e\u533b\u5b66\u5f71\u50cf\u5206\u6790\u81f3\u5173\u91cd\u8981\u3002\u7136\u800c\uff0c\u73b0\u6709\u65b9\u6cd5\u96be\u4ee5\u51c6\u786e\u63cf\u8ff0\u75be\u75c5\u5173\u8054\u4ece\u800c\u5bfc\u81f4\u8bca\u65ad\u7ed3\u679c\u4e0d\u51c6\u786e\u6216\u4e0d\u5b8c\u6574\u3002\u672c\u62a5\u544a\u4e3b\u8981\u5c55\u793a\u56e2\u961f\u63d0\u51fa\u7684Med-FILIP\uff0c\u8fd9\u662f\u4e00\u79cd\u7ec6\u7c92\u5ea6\u7684VLP\u6a21\u578b\uff0c\u901a\u8fc7\u5bf9\u6bd4\u5b66\u4e60\u5f15\u5165\u4e86\u533b\u5b66\u5f71\u50cf\u7279\u5b9a\u7684\u77e5\u8bc6\uff0c\u57fa\u4e8e\u5927\u578b\u8bed\u8a00\u6a21\u578b\u7684\u6587\u672c\u5904\u7406\u80fd\u529b\u89e3\u8026\u75be\u75c5\u62a5\u544a\u4e2d\u7684\u7ec6\u8282\uff0c\u4ece\u800c\u6709\u6548\u5730\u964d\u4f4e\u6587\u672c\u590d\u6742\u6027\uff0c\u540c\u65f6\u4ee5\u5fae\u5c0f\u7684\u6210\u672c\u4fdd\u7559\u4e30\u5bcc\u7684\u4fe1\u606f\u3002\u5728\u591a\u4e2a\u4efb\u52a1\u548c\u6570\u636e\u96c6\u4e0a\u6211\u4eec\u7684\u6a21\u578b\u5b9e\u73b0\u4e86\u6700\u5148\u8fdb\u7684\u6027\u80fd\u3002\u672c\u5de5\u4f5c\u4ee3\u7801\u5df2\u7ecf\u5f00\u6e90\uff1ahttps:\/\/github.com\/PerceptionComputingLab\/MedFILIP<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u4e2a\u4eba\u7b80\u4ecb\uff1a<\/strong>\u9a86\u529f\u5b81\uff0c\u73b0\u4efb\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u4e0e\u6280\u672f\u5b66\u9662\u526f\u6559\u6388\u3001\u535a\u58eb\u751f\u5bfc\u5e08\u3001\u5165\u9009\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66\u9752\u5e74\u62d4\u5c16\u4eba\u624d\u652f\u6301\u8ba1\u5212\uff0c\u9ed1\u9f99\u6c5f\u7701\u667a\u6167\u533b\u7597\u521b\u65b0\u56e2\u961f\uff08\u9f99\u6c5f\u79d1\u6280\u82f1\u624d\u6625\u96c1\u652f\u6301\u8ba1\u5212\uff09\u5e26\u5934\u4eba\uff0c\u9ed1\u9f99\u6c5f\u7701\u4e13\u4e1a\u6280\u672f\u9886\u519b\u4eba\u624d\u68af\u5ea6\u540e\u5907\u5e26\u5934\u4eba\uff0cMICCAI2022\u7ec4\u59d4\u5206\u59d4\u4f1a\u4e3b\u5e2d\u548cMICCAI2024&amp;2025\u9886\u57df\u4e3b\u5e2d\u3002\u4ee5\u7b2c\u4e00\u6216\u901a\u8baf\u4f5c\u8005\u5728\u9886\u57df\u6743\u5a01\u671f\u520a\u548c\u4f1a\u8baeNature Communications\u3001Medical Image Analysis\u3001TBME\u3001JBHI\u3001AAAI\u3001MICCAI\u7b49\u88ab\u5f55\u7528\u6216\u53d1\u8868\u8bba\u658730\u4f59\u7bc7\uff0c\u4e3b\u6301\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u9879\u76ee\uff08\u5305\u62ec\u9752\u5e74\u548c\u9762\u4e0a\u9879\u76ee\uff09\u3001\u4e2d\u56fd\u535a\u58eb\u540e\u79d1\u5b66\u57fa\u91d1\u7279\u522b\u8d44\u52a9\u9879\u76ee\u7b4910\u9879\u3002<img decoding=\"async\" src=\"https:\/\/mmbiz.qpic.cn\/sz_mmbiz_png\/A0QJroknKI5dmjGPXB4iaiaibpv0FFRUvqnQuBCRmibS2PWdiayXTzib9sBgiar7m94BAMSoKibzobOAF7nSqSiack3icc4w\/640?wx_fmt=png&amp;from=appmsg&amp;tp=wxpic&amp;wxfrom=5&amp;wx_lazy=1&amp;wx_co=1\" alt=\"\u56fe\u7247\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u94b1 \u6ce2 \uff08\u5357\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66\uff09<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u62a5\u544a\u9898\u76ee\uff1aDeepSeek\u4e0e\u533b\u7597\u5927\u6a21\u578b\u53d1\u5c55\u73b0\u72b6\u4e0e\u5c55\u671b<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u62a5\u544a\u6458\u8981\uff1a<\/strong>\u8fd1\u5e74\u6765\uff0c\u4eba\u5de5\u667a\u80fd\u6280\u672f\u5728\u5404\u79cd\u75be\u75c5\u8bca\u65ad\u7684\u533b\u7597\u7814\u7a76\u5e94\u7528\u4e2d\u65e5\u76ca\u589e\u957f\uff0c\u7279\u522b\u662f\u5728\u5927\u6a21\u578b\u6280\u672f\u548c\u8ba1\u7b97\u673a\u786c\u4ef6\u7b97\u529b\u7684\u63a8\u52a8\u4e0b\uff0c\u4f7f\u5f97\u6570\u636e\u9a71\u52a8\u7684\u75be\u75c5\u81ea\u52a8\u5206\u6790\u6210\u4e3a\u53ef\u80fd\uff0c\u4ece\u800c\u4e3a\u75be\u75c5\u8bca\u65ad\u3001\u8fdb\u5c55\u9884\u6d4b\u548c\u6cbb\u7597\u5e72\u9884\u63d0\u4f9b\u4e86\u66f4\u5168\u9762\u7684\u652f\u6301\u3002\u901a\u8fc7\u5bf9\u5927\u91cf\u533b\u5b66\u56fe\u50cf\u548c\u4e34\u5e8a\u6587\u672c\u6570\u636e\u8fdb\u884c\u9884\u8bad\u7ec3\uff0c\u5927\u6a21\u578b\u5728\u63d0\u9ad8\u8bca\u65ad\u7684\u51c6\u786e\u6027\u3001\u6548\u7387\u548c\u4e2a\u6027\u5316\u6cbb\u7597\u65b9\u6848\u63a8\u8350\u65b9\u9762\u5177\u6709\u663e\u8457\u4f18\u52bf\u3002\u5728\u6b64\u80cc\u666f\u4e0b\uff0cDeepSeek\u4f5c\u4e3a\u4e00\u79cd\u5148\u8fdb\u7684\u56fd\u4ea7\u5927\u6a21\u578b\uff0c\u5728\u903b\u8f91\u63a8\u7406\u548c\u5b9e\u65f6\u95ee\u9898\u89e3\u51b3\u65b9\u9762\u8868\u73b0\u7a81\u51fa\uff0c\u5728\u75be\u75c5\u8bca\u65ad\u5206\u6790\u9886\u57df\u4e5f\u5c55\u73b0\u4e86\u8f83\u5927\u7684\u5e94\u7528\u6f5c\u529b\u3002\u7136\u800c\uff0c\u5c3d\u7ba1\u6570\u636e\u91cf\u7684\u589e\u52a0\u548c\u6a21\u578b\u6301\u7eed\u4f18\u5316\u589e\u5f3a\u4e86\u5927\u6a21\u578b\u5728\u4e34\u5e8a\u5b9e\u9645\u4efb\u52a1\u4e2d\u7684\u5e94\u7528\u6f5c\u529b\uff0c\u5f53\u524d\u6a21\u578b\u4ecd\u9762\u4e34\u6570\u636e\u4f9d\u8d56\u6027\u5f3a\u3001\u591a\u6a21\u6001\u6570\u636e\u878d\u5408\u548c\u7f3a\u4e4f\u53ef\u89e3\u91ca\u6027\u7b49\u6311\u6218\u3002\u6b64\u5916\uff0c\u8fd9\u4e9b\u533b\u7597\u5927\u6a21\u578b\u5c1a\u672a\u5728\u4e0d\u540c\u4e34\u5e8a\u73af\u5883\u4e2d\u8fdb\u884c\u5e7f\u6cdb\u8bc4\u4f30\uff0c\u8fd9\u5f71\u54cd\u4e86\u5176\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u7684\u53ef\u9760\u6027\u548c\u5b9e\u7528\u6027\u3002\u672c\u62a5\u544a\u56de\u987e\u4e86\u5305\u62ecDeepSeek\u5728\u5185\u7684\u5927\u6a21\u578b\u6280\u672f\u7684\u6700\u65b0\u53d1\u5c55\uff0c\u4ecb\u7ecd\u4e86\u8fd1\u5e74\u6765\u533b\u7597\u9886\u57df\u5927\u6a21\u578b\u7684\u76f8\u5173\u7814\u7a76\u5de5\u4f5c\uff0c\u5e76\u5c55\u671b\u4e86\u533b\u7597\u5927\u6a21\u578b\u672a\u6765\u7684\u7814\u7a76\u65b9\u5411\u53ca\u5176\u9762\u4e34\u7684\u6311\u6218\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u4e2a\u4eba\u7b80\u4ecb\uff1a<\/strong>\u94b1\u6ce2\uff0c\u5357\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66\u4eba\u5de5\u667a\u80fd\u5b66\u9662\u52a9\u7406\u6559\u6388\/\u8bb2\u5e08\uff0c\u5f53\u524d\u5728\u5f20\u9053\u5f3a\u6559\u6388\u56e2\u961f\u4ece\u4e8b\u4eba\u5de5\u667a\u80fd\u3001\u533b\u5b66\u56fe\u50cf\u5206\u6790\u3001\u533b\u7597\u5927\u6a21\u578b\u7b49\u65b9\u5411\u7684\u7814\u7a76\u30022024\u5e74\u535a\u58eb\u6bd5\u4e1a\u4e8e\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u4e0e\u6280\u672f\u4e13\u4e1a\uff0c\u5728JAMA Ophthalmology\u3001Patterns\u3001IEEE ITS\u3001IEEE ICME\u3001The Visual Computer\u7b49\u671f\u520a\u548c\u4f1a\u8bae\u4e0a\u53d1\u8868\u5b66\u672f\u8bba\u658710\u4f59\u7bc7\u3002\u76ee\u524d\u62c5\u4efbThe Visual Computer\u671f\u520a\u526f\u4e3b\u7f16\uff0c\u62c5\u4efbJAMA Ophthalmology \u3001IEEE TMI\u3001Medical Image Analysis\u3001IEEE JBHI\u7b49\u591a\u4e2a\u56fd\u9645\u671f\u520a\u548c\u4f1a\u8bae\u7684\u5ba1\u7a3f\u4eba\uff0c\u62c5\u4efbMICCAI 2022-2024\u3001CGI 2023\u7b49\u591a\u4e2a\u56fd\u9645\u4eba\u5de5\u667a\u80fd\u4e0e\u533b\u5b66\u5f71\u50cf\u5206\u6790\u6311\u6218\u8d5b\u9886\u57df\u4e3b\u5e2d\/\u7a0b\u5e8f\u59d4\u5458\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Panel\u8ba8\u8bba\u5609\u5bbe\u7b80\u4ecb<\/strong><br><img decoding=\"async\" src=\"https:\/\/mmbiz.qpic.cn\/sz_mmbiz_jpg\/A0QJroknKI5dmjGPXB4iaiaibpv0FFRUvqn9n34RBURvuwH6wJALTVnVrqYGpZ2rlPejv4IDpstiaaG9RJe3XKXRNA\/640?wx_fmt=jpeg&amp;tp=wxpic&amp;wxfrom=5&amp;wx_lazy=1&amp;wx_co=1\" alt=\"\u56fe\u7247\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u4f55\u6656\u5149&nbsp;\uff08\u4e2d\u56fd\u79d1\u5b66\u9662\u81ea\u52a8\u5316\u7814\u7a76\u6240\uff09<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u4e2a\u4eba\u7b80\u4ecb\uff1a<\/strong>\u4f55\u6656\u5149\uff0c\u4e2d\u56fd\u79d1\u5b66\u9662\u81ea\u52a8\u5316\u7814\u7a76\u6240\u7814\u7a76\u5458\uff0c\u535a\u58eb\u751f\u5bfc\u5e08\uff0c\u56fd\u5bb6\u9ad8\u5c42\u6b21\u4eba\u624d\uff0c\u4e2d\u56fd\u79d1\u5b66\u9662\u5927\u5b66\u5c97\u4f4d\u6559\u6388\uff0c\u4e0a\u6d77\u79d1\u6280\u5927\u5b66\u7279\u8058\u6559\u6388\u3002\u5148\u540e\u4e3b\u6301\u591a\u9879\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u3001863\u9879\u76ee\u3001\u56fd\u5bb6\u91cd\u70b9\u7814\u53d1\u8ba1\u5212\u8bfe\u9898\u7b49\u591a\u4e2a\u91cd\u8981\u9879\u76ee\u3002\u83b7\u5f97\u56fd\u5bb6\u79d1\u6280\u8fdb\u6b65\u4e8c\u7b49\u5956\u4e24\u9879\uff08\u6392\u4e8c\u3001\u6392\u4e09\uff09\uff0c\u5317\u4eac\u5e02\u79d1\u6280\u8fdb\u6b65\u5956\u4e24\u9879\uff0c\u6559\u80b2\u90e8\u79d1\u6280\u8fdb\u6b65\u4e00\u7b49\u5956\u7b49\u5956\u9879\u3002\u5165\u9009\u5317\u4eac\u5e02\u79d1\u6280\u65b0\u661f\uff0c\u4e2d\u79d1\u9662\u201c\u5362\u5609\u9521\u9752\u5e74\u4eba\u624d\u5956\u201d\uff0c\u4e2d\u79d1\u9662\u9752\u5e74\u521b\u65b0\u4fc3\u8fdb\u4f1a\u4f18\u79c0\u4f1a\u5458\u7b49\u3002\u5176\u7814\u7a76\u9886\u57df\u4e3a\u8111-\u673a\u63a5\u53e3\u3001\u7c7b\u8111\u667a\u80fd\u3001\u533b\u5b66\u5f71\u50cf\u5206\u6790\u7b49\uff0c\u5728Nat. Commun., IEEE TPAMI\/TNNLS\/TCYB\/TMI\uff0cICML,ICLR,MICCAI\u7b49\u53d1\u8868\u6587\u7ae0200\u4f59\u7bc7\u3002\u81ea\u52a8\u5316\u5b66\u62a5\u7f16\u59d4\uff0cCCF\/CSIG\u6770\u51fa\u4f1a\u5458\u3002\u5efa\u56fd\u4e03\u5341\u5468\u5e74\u7eaa\u5ff5\u7ae0\u83b7\u5f97\u8005\u3002<img decoding=\"async\" src=\"https:\/\/mmbiz.qpic.cn\/sz_mmbiz_jpg\/A0QJroknKI5dmjGPXB4iaiaibpv0FFRUvqnB8lA9VSIeSKEiblH0snwLNm9MSaEtKj3ibzx4I0zkuv9sIDVWfEmD7ibA\/640?wx_fmt=jpeg&amp;tp=wxpic&amp;wxfrom=5&amp;wx_lazy=1&amp;wx_co=1\" alt=\"\u56fe\u7247\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u738b&nbsp; &nbsp;\u4e7e&nbsp;\uff08\u4e0a\u6d77\u79d1\u6280\u5927\u5b66\uff09<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u4e2a\u4eba\u7b80\u4ecb\uff1a<\/strong>\u738b\u4e7e\u73b0\u4efb\u4e0a\u6d77\u79d1\u6280\u5927\u5b66\u751f\u7269\u533b\u5b66\u5de5\u7a0b\u5b66\u9662\u7814\u7a76\u5458\u3001\u526f\u9662\u957f\uff0c\u4ece\u4e8b\u533b\u5b66\u56fe\u50cf\u667a\u80fd\u8ba1\u7b97\u7814\u7a76\u3002\u5df2\u53d1\u8868\u8bba\u6587200\u4f59\u7bc7\uff0c\u88ab\u5f15\u75281.2\u4e07\u4f59\u6b21\uff0cH\u56e0\u5b5050\u3002\u4e3b\u6301\u548c\u53c2\u4e0e\u591a\u4e2a\u79d1\u6280\u90e8\u3001\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u3001\u4e0a\u6d77\u5e02\u79d1\u59d4\u9879\u76ee\u7b49\u3002\u627f\u62c5Medical Image Analysis\u3001Pattern Recognition\u3001Neural Networks\u7b49\u56fd\u5185\u5916\u5b66\u672f\u671f\u520a\u7f16\u8f91\u5de5\u4f5c\uff0c\u9886\u5bfc\u548c\u53c2\u4e0e\u56db\u90e8\u56fd\u9645\u4f1a\u8bae\u8bba\u6587\u96c6\u7684\u7f16\u8f91\u51fa\u7248\uff0c\u62c5\u4efbMICCAI\u9886\u57df\u4e3b\u5e2d\u7b49\u3002<img decoding=\"async\" src=\"https:\/\/mmbiz.qpic.cn\/sz_mmbiz_jpg\/A0QJroknKI5dmjGPXB4iaiaibpv0FFRUvqnusSRAhBskc8NaKpmJKpMVHghbSZQqjBEO8QpNicCvj7BCur9KDzw8sw\/640?wx_fmt=jpeg&amp;tp=wxpic&amp;wxfrom=5&amp;wx_lazy=1&amp;wx_co=1\" alt=\"\u56fe\u7247\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u502a&nbsp; \u4e1c&nbsp;\uff08\u5357\u4eac\u533b\u79d1\u5927\u5b66\u3001\u6df1\u5733\u5927\u5b66\uff09<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u4e2a\u4eba\u7b80\u4ecb\uff1a<\/strong>\u502a\u4e1c\uff0c\u6559\u6388\uff0c\u5357\u4eac\u533b\u79d1\u5927\u5b66\u751f\u7269\u533b\u5b66\u5de5\u7a0b\u4e0e\u4fe1\u606f\u5b66\u9662\u9662\u957f\uff0c\u6df1\u5733\u5927\u5b66\u751f\u7269\u533b\u5b66\u5de5\u7a0b\u5b66\u9662\u6559\u6388\uff0c\u4eba\u5de5\u667a\u80fd\u533b\u7597\u5f71\u50cf\u56fd\u9645\u9876\u7ea7\u4f1a\u8baeMICCAI\u7406\u4e8b\u4f1a\u6210\u5458\uff0c\u56fd\u5bb6\u91cd\u70b9\u7814\u53d1\u8ba1\u5212\u9996\u5e2d\u79d1\u5b66\u5bb6\uff0c\u5e7f\u4e1c\u7701\u8d85\u58f0\u533b\u5b66\u5de5\u7a0b\u5b66\u4f1a\u526f\u4f1a\u957f\uff0c\u6df1\u5733\u5927\u5b66\u4f18\u79c0\u5b66\u8005\u3002\u957f\u671f\u4ece\u4e8b\u533b\u5b66\u56fe\u50cf\u8ba1\u7b97\u7684\u7814\u7a76\u3001\u4e34\u5e8a\u5e94\u7528\u53ca\u4ea7\u4e1a\u8f6c\u5316\u3002\u4e3b\u6301\u56fd\u5bb6\u91cd\u70b9\u7814\u53d1\u8ba1\u5212\u7b49\u79d1\u7814\u9879\u76ee10\u4f59\u9879\uff0c\u83b7\u6388\u6743\u53d1\u660e\u4e13\u522930\u4f59\u9879\uff0c\u53d1\u8868\u5b66\u672f\u8bba\u6587200\u4f59\u7bc7\uff0c\u5305\u62ec\u5728Nature&nbsp;\u5b50\u520a\u3001IEEE TMI\u3001Medical Image Analysis\u53caMICCAI\u7b49\u672c\u9886\u57df\u9876\u7ea7\u671f\u520a\u548c\u4f1a\u8bae\u53d1\u8868\u8bba\u6587\u591a\u7bc7\u3002\u667a\u80fd\u8d85\u58f0\u7814\u7a76\u6210\u679c\u5b9e\u65bd\u4e86\u5927\u89c4\u6a21\u7684\u4e34\u5e8a\u5e94\u7528\u53ca\u4ea7\u4e1a\u8f6c\u5316\uff0c\u83b7\u5f97\u4e86\u6df1\u5733\u5e02\u79d1\u6280\u8fdb\u6b65\u5956\u4e00\u7b49\u5956\u3002<img decoding=\"async\" src=\"https:\/\/mmbiz.qpic.cn\/sz_mmbiz_jpg\/A0QJroknKI5dmjGPXB4iaiaibpv0FFRUvqnShPOxlC1Z0Smz7dcjsfjay4QyB6mMDOYsg3BLa8LwrTiba0vS3hB56Q\/640?wx_fmt=jpeg&amp;tp=wxpic&amp;wxfrom=5&amp;wx_lazy=1&amp;wx_co=1\" alt=\"\u56fe\u7247\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u5218\u518d\u6bc5&nbsp;\uff08\u5e7f\u4e1c\u7701\u4eba\u6c11\u533b\u9662\uff09<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u4e2a\u4eba\u7b80\u4ecb\uff1a<\/strong>\u533b\u5b66\u535a\u58eb\uff0c\u4e8c\u7ea7\u5c97\u4e3b\u4efb\u533b\u5e08\uff0c\u535a\u58eb\u751f\u5bfc\u5e08\uff0c\u56fd\u5bb6\u6770\u9752\u83b7\u5f97\u8005\uff0c\u56fd\u52a1\u9662\u7279\u6b8a\u6d25\u8d34\u4e13\u5bb6\uff0c\u5e7f\u4e1c\u7701\u4e01\u9896\u79d1\u6280\u5956\u83b7\u5f97\u8005\uff0c\u5e7f\u4e1c\u7701\u4eba\u6c11\u533b\u9662\u653e\u5c04\u79d1\u4e3b\u4efb\uff0c\u5e7f\u4e1c\u7701\u533b\u5b66\u5f71\u50cf\u667a\u80fd\u5206\u6790\u4e0e\u5e94\u7528\u91cd\u70b9\u5b9e\u9a8c\u5ba4\u4e3b\u4efb\u3002\u4e00\u76f4\u81f4\u529b\u4e8e\u533b\u5b66\u5f71\u50cf\u7ec4\u5b66\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u3002\u8fd1\u5e74\u6765\uff0c\u805a\u7126\u6076\u6027\u80bf\u7624\u91cf\u5316\u7814\u7a76\uff0c\u5c06\u533b\u5b66\u5f71\u50cf\u8f6c\u5316\u4e3a\u53ef\u6316\u6398\u6570\u636e\uff0c\u521b\u65b0\u6027\u5730\u57fa\u4e8e\u5f71\u50cf\u7ec4\u5b66\u6784\u5efa\u4e2a\u4f53\u5316\u9884\u6d4b\u6a21\u578b\uff0c\u7528\u4e8e\u80bf\u7624\u7cbe\u51c6\u8bca\u65ad\u3001\u7597\u6548\u8bc4\u4f30\u548c\u9884\u540e\u9884\u6d4b\u3002\u4ee5\u7b2c\u4e00\u6216\u901a\u8baf [\u542b\u5171\u540c] \u4f5c\u8005\u53d1\u8868SCI\u8bba\u6587100\u4f59\u7bc7\uff0c\u5305\u62ec\u4e34\u5e8a\u80bf\u7624\u5b66\u9876\u7ea7\u671f\u520a\u300aJ Clin Oncol\u300b\u3001\u300aAnn Oncol\u300b\u3001\u300aClin Cancer Res\u300b\u3001\u4ee3\u8c22\u5b66\u9876\u7ea7\u671f\u520a\u300aNature Metabolism\u300b\u3001\u533b\u5b66\u56fe\u50cf\u5904\u7406\u9876\u7ea7\u671f\u520a\u300aMed Img Anal\u300b\u548c\u5f71\u50cf\u5b66\u9876\u7ea7\u671f\u520a\u300aRadiology\u300b\u3002\u5148\u540e\u83b7\u56fd\u5bb6\u6770\u51fa\u9752\u5e74\u79d1\u5b66\u57fa\u91d1\u3001\u79d1\u6280\u90e8\u91cd\u70b9\u7814\u53d1\u8ba1\u5212\u8bfe\u9898\uff082\u9879\uff09\u3001\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u533a\u57df\u521b\u65b0\u53d1\u5c55\u8054\u5408\u57fa\u91d1\u53ca\u9762\u4e0a\u9879\u76ee\u7b49\u8d44\u52a9\u3002\u62c5\u4efb\u4e2d\u534e\u653e\u5c04\u5b66\u4f1a\u5e38\u59d4\u3001\u5e7f\u4e1c\u7701\u653e\u5c04\u5b66\u4f1a\u5019\u4efb\u4e3b\u4efb\u59d4\u5458\u3001\u4e9a\u6d32\u8179\u90e8\u653e\u5c04\u5b66\u4f1a\u6267\u59d4\u7b49\u3002\u591a\u6b21\u53d7\u9080\u5728\u56fd\u9645\u5b66\u672f\u5927\u4f1a\u505a\u4e13\u9898\u62a5\u544a\u3002\u56e0\u672c\u4eba\u5728\u533b\u5b66\u5f71\u50cf\u4eba\u5de5\u667a\u80fd\u65b9\u9762\u7684\u5de5\u4f5c\uff0c\u79ef\u6781\u63a8\u52a8\u4e86\u6211\u56fd\u533b\u5b66\u5f71\u50cf\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u7684\u53d1\u5c55\uff0c\u4e8e2018\u5e74\u83b7\u4e2d\u534e\u653e\u5c04\u5b66\u4f1a\u201c\u6770\u51fa\u9752\u5e74\u5956\u201d\u3002\u4ee5\u7b2c\u4e00\u5b8c\u6210\u4eba\u83b7\u5f972020\u5e74\u5ea6\u5e7f\u4e1c\u7701\u79d1\u6280\u8fdb\u6b65\u4e00\u7b49\u5956\uff1b2023\u5e74\u83b7\u7b2c\u5341\u4e03\u5c4a\u5e7f\u4e1c\u7701\u4e01\u9896\u79d1\u6280\u5956\u3002<img decoding=\"async\" src=\"https:\/\/mmbiz.qpic.cn\/sz_mmbiz_png\/A0QJroknKI7k7lmENTJRB15UDicfuKXp8BgQNYE1aV4gVCFpa5s4b3JcQ9mtgYViaW8ibic8PP25Z4OHcoaefqaCicQ\/640?wx_fmt=png&amp;from=appmsg&amp;tp=wxpic&amp;wxfrom=5&amp;wx_lazy=1&amp;wx_co=1\" alt=\"\u56fe\u7247\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u590f&nbsp; \u52c7&nbsp;\uff08\u897f\u5317\u5de5\u4e1a\u5927\u5b66\uff09<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u4e2a\u4eba\u7b80\u4ecb\uff1a<\/strong>\u590f\u52c7\uff0c\u897f\u5317\u5de5\u4e1a\u5927\u5b66\u8ba1\u7b97\u673a\u5b66\u9662\u957f\u8058\u6559\u6388\u3001\u7a7a\u5929\u5730\u6d77\u4e00\u4f53\u5316\u5927\u6570\u636e\u5e94\u7528\u6280\u672f\u56fd\u5bb6\u5de5\u7a0b\u5b9e\u9a8c\u5ba4\u6210\u5458\uff0c\u7814\u7a76\u65b9\u5411\u4e3a\u533b\u5b66\u5f71\u50cf\u667a\u80fd\u8ba1\u7b97\uff0c\u8fd15\u5e74\u5728JAMA Network Open\uff64Radiology\u3001IEEE-TPAMI\/TMI\/TIP\/TNNLS\uff64IJCV\u3001MedIA\uff64NeurIPS\uff64CVPR\uff64ECCV\u3001MICCAI\u3001AAAI\u3001IJCAI\u53d1\u8868\u8bba\u658780\u4f59\u7bc7\uff0c\u8c37\u6b4c\u5f15\u75281.4\u4e07\u4f59\u6b21\uff0c\u5148\u540e\u5728BraTS2020\u3001KiTS21\u3001KiPA22\u3001SegRap2023 \u3001STAGE2023\/2024\u7b4910\u4f59\u9879\u56fd\u9645\u5b66\u79d1\u7ade\u8d5b\u4e2d\u83b7\u5f97\u524d\u4e09\u540d\uff1b\u62c5\u4efb\u4e2d\u56fd\u4f53\u89c6\u5b66\u5b66\u4f1a\u7406\u4e8b\u3001\u4e2d\u56fd\u8ba1\u7b97\u673a\u5b66\u4f1a\u6570\u5b57\u533b\u5b66\u5206\u4f1a\u5e38\u59d4\u3001\u9655\u897f\u7701\u8ba1\u7b97\u673a\u5b66\u4f1a\u4eba\u5de5\u667a\u80fd\u4e13\u59d4\u4f1a\u4e3b\u4efb\u3002\u4e2a\u4eba\u4e3b\u9875\uff1ahttps:\/\/teacher.nwpu.edu.cn\/yongxia.html<img decoding=\"async\" src=\"https:\/\/mmbiz.qpic.cn\/sz_mmbiz_jpg\/A0QJroknKI5dmjGPXB4iaiaibpv0FFRUvqn52WPZvFPX8DNiarxZwaO0nu76RRCGjXGjTpp2I85xiaibyYwESzYZlYag\/640?wx_fmt=jpeg&amp;tp=wxpic&amp;wxfrom=5&amp;wx_lazy=1&amp;wx_co=1\" alt=\"\u56fe\u7247\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u76db&nbsp; \u658c&nbsp;\uff08\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff09<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u4e2a\u4eba\u7b80\u4ecb\uff1a<\/strong>\u76db\u658c, \u73b0\u4e3a\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u4e0e\u5de5\u7a0b\u7cfb\u6559\u6388\u3001\u535a\u58eb\u751f\u5bfc\u5e08\uff0c\u83b7\u56fd\u5bb6\u201c\u4e07\u4eba\u8ba1\u5212\u201d\u9752\u5e74\u62d4\u5c16\u4eba\u624d\u7b49\u9879\u76ee\u8d44\u52a9\u3002ISBI2020\u3001MICCAI2022\u53caMICCAI2023\u56fd\u9645\u773c\u5e95\u5f71\u50cf\u4eba\u5de5\u667a\u80fd\u8bfb\u7247\u7ade\u8d5b\u4e3b\u5e2d\uff0c\u4efbThe Visual Computer\u6267\u884c\u7f16\u8f91(Managing Editor), \u4efbIEEE Trans. CSVT\u7b494\u672c\u4eba\u5de5\u667a\u80fd\u9886\u57dfSCI\u56fd\u9645\u671f\u520aAssociate Editor\u3002\u8fd1\u4e94\u5e74\u4ee5(\u5171\u540c)\u7b2c\u4e00\/\u901a\u8baf\u53d1\u8868Nature Medicine, Nature Communications\u3001IJCV\u3001IEEE TPAMI\u7b49SCI\u8bba\u658769\u7bc7\u3002\u83b72020\u5e74\u5ea6\u4e0a\u6d77\u5e02\u79d1\u6280\u8fdb\u6b65\u7279\u7b49\u5956\uff0c\u4e24\u6b21\u83b7\u4e16\u754c\u4eba\u5de5\u667a\u80fd\u5927\u4f1aSAIL AWARD\u699c\u5355\u9879\u76ee\u3001\u56fd\u9645\u56fe\u5f62\u5b66\u5b66\u4f1a(Computer Graphics Society)\u6770\u51fa\u8d21\u732e\u5956\u7b49\u8363\u8a89\u3002<img decoding=\"async\" src=\"https:\/\/mmbiz.qpic.cn\/sz_mmbiz_jpg\/A0QJroknKI5dmjGPXB4iaiaibpv0FFRUvqnPhbB8yhDiaU6E7O6qibWBicfPPT5gW7Otgam0HdHvkDU9w3hYTLOa9ciaQ\/640?wx_fmt=jpeg&amp;tp=wxpic&amp;wxfrom=5&amp;wx_lazy=1&amp;wx_co=1\" alt=\"\u56fe\u7247\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u5f3a&nbsp; \u5f66&nbsp;\uff08\u4e2d\u5317\u5927\u5b66\uff09<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u4e2a\u4eba\u7b80\u4ecb\uff1a<\/strong>\u5f3a\u5f66\uff0c\u5de5\u5b66\u535a\u58eb\uff0c\u6559\u6388\uff0c\u535a\u58eb\u751f\u5bfc\u5e08\u3002\u4efb\u4e2d\u5317\u5927\u5b66\u8f6f\u4ef6\u5b66\u9662\u9662\u957f\uff0c\u5c71\u897f\u7701\u6559\u5b66\u540d\u5e08\uff0c\u6559\u80b2\u90e8\u5de5\u7a0b\u6559\u80b2\u8ba4\u8bc1\u4e13\u5bb6\uff0c\u4e2d\u56fd\u8ba1\u7b97\u673a\u5b66\u4f1a\u865a\u62df\u73b0\u5b9e\u4e0e\u53ef\u89c6\u5316\u4e13\u59d4\u5e38\u59d4\uff0c\u6559\u80b2\u4e13\u59d4\u6267\u59d4\u3002\u8fd1\u5e74\u6765\uff0c\u53d1\u8868SCI\u8bba\u658750\u4f59\u7bc7\uff0c\u5305\u62ecESI\u5168\u7403Top\u524d1%\u9ad8\u88ab\u5f15\u8bba\u65871\u7bc7\u3002\u5148\u540e\u4e3b\u6301\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d19\u9879\u53ca\u5176\u4ed6\u7701\u90e8\u7ea7\u57fa\u91d135\u9879\u3002\u4e3b\u7f16\u3001\u53c2\u7f16\u6216\u7ffb\u8bd1\u8457\u4f5c\u6559\u675036\u90e8\uff0c\u62e5\u6709\u56fd\u5bb6\u53d1\u660e\u4e13\u522919\u9879\u3002\u83b7\u5c71\u897f\u7701\u6559\u5b66\u6210\u679c\u4e00\u7b49\u5956 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src=\"https:\/\/mmbiz.qpic.cn\/sz_mmbiz_jpg\/A0QJroknKI5dmjGPXB4iaiaibpv0FFRUvqnah62kGcMclGuolWeWCPEj7yyM1zDopkMsOSfDGBQMChibZS8iaibwnNKQ\/640?wx_fmt=jpeg&amp;from=appmsg&amp;tp=wxpic&amp;wxfrom=5&amp;wx_lazy=1&amp;wx_co=1\" alt=\"\u56fe\u7247\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u738b\u6d2a\u51ef&nbsp;\uff08\u5927\u8fde\u7406\u5de5\u5927\u5b66\uff09<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u4e2a\u4eba\u7b80\u4ecb\uff1a<\/strong>\u738b\u6d2a\u51ef\uff0c\u5927\u8fde\u7406\u5de5\u5927\u5b66\u6559\u6388\uff0c\u535a\u58eb\u751f\u5bfc\u5e08\u30022009\u5e74\u535a\u58eb\u6bd5\u4e1a\u4e8e\u6e05\u534e\u5927\u5b66\u751f\u7269\u533b\u5b66\u5de5\u7a0b\u7cfb\uff0c2009-2014\u5e74\u5728\u7f8e\u56fd\u52a0\u5dde\u5927\u5b66\u6d1b\u6749\u77f6\u5206\u6821\u5148\u540e\u62c5\u4efb\u535a\u58eb\u540e\u548c\u7814\u7a76\u5458\uff0c\u73b0\u4efb\u5927\u8fde\u7406\u5de5\u5927\u5b66\u533b\u5b66\u90e8\u526f\u90e8\u957f\u3002\u4e3b\u8981\u7814\u7a76\u65b9\u5411\u4e3a\u533b\u5b66\u5f71\u50cf\u667a\u80fd\u8ba1\u7b97\u548c\u6570\u5b57\u4eba\u4f53\u5efa\u6a21\u4eff\u771f\uff0c\u6240\u6784\u5efa\u7684\u53ef\u53d8\u5f62\u6570\u5b57\u4e2d\u56fd\u4eba\u56fe\u8c31\u5728\u4e2a\u6027\u5316\u533b\u7597\u3001\u88c5\u5907\u5236\u9020\u7b49\u9886\u57df\u53d6\u5f97\u8bf8\u591a\u5e94\u7528\uff0c\u6280\u672f\u6210\u679c\u88ab\u4e2d\u56fd\u548c\u7f8e\u56fd\u516c\u53f8\u4ea7\u4e1a\u8f6c\u5316\uff0c\u5b9e\u73b0\u79d1\u6280\u6210\u679c\u8f6c\u5316\u6570\u767e\u4e07\u5143\u3002\u5728\u300aIEEE Transactions on Medical Imaging\u300b\u3001\u300aMedical Image Analysis\u300b\u7b49\u9886\u57df\u9876\u7ea7\u671f\u520a\u4ee5\u53caNature\u65d7\u4e0b\u671f\u520a\u53d1\u8868\u8bba\u6587\u591a\u7bc7\uff0c\u62c5\u4efbMedical Image Computing Seminar\u5b66\u4f1a\u526f\u4e3b\u5e2d\u3001\u4e2d\u56fd\u89e3\u5256\u5b66\u4f1a\u65ad\u5c42\u5f71\u50cf\u89e3\u5256\u5b66\u5206\u4f1a\u526f\u4e3b\u4efb\u59d4\u5458\u3001\u4e2d\u56fd\u89e3\u5256\u5b66\u4f1a\u667a\u6167\u89e3\u5256\u5b66\u5206\u4f1a\u526f\u4e3b\u4efb\u59d4\u5458\u3002\u4e3b\u6301\u56fd\u5bb6\u91cd\u70b9\u7814\u53d1\u8ba1\u5212\u8bfe\u98981\u9879\u3001\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d13\u9879\u3001\u53c2\u4e0e\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u8054\u5408\u91cd\u70b9\u9879\u76ee\u3001\u56fd\u5bb6\u91cd\u70b9\u7814\u53d1\u8ba1\u5212\u8bd5\u70b9\u4e13\u98791\u9879\u3001\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u91cd\u5927\u7814\u7a76\u8ba1\u5212\u57f9\u80b2\u8ba1\u5212\u3002<img decoding=\"async\" src=\"https:\/\/mmbiz.qpic.cn\/sz_mmbiz_jpg\/A0QJroknKI5dmjGPXB4iaiaibpv0FFRUvqn4NYwQfgkTt22neNHGaTw3R9RFw03Pvx7p2gVYiansDrsaOzzMicBpTHA\/640?wx_fmt=jpeg&amp;tp=wxpic&amp;wxfrom=5&amp;wx_lazy=1&amp;wx_co=1\" alt=\"\u56fe\u7247\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u96f7\u67cf\u82f1&nbsp;\uff08\u6df1\u5733\u5927\u5b66\uff09<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u4e2a\u4eba\u7b80\u4ecb\uff1a<\/strong>\u96f7\u67cf\u82f1\uff0c\u56fd\u5bb6\u7ea7\u9752\u5e74\u4eba\u624d\uff0c\u6df1\u5733\u5927\u5b66\u7279\u8058\u6559\u6388\uff0c\u897f\u5b89\u7535\u5b50\u79d1\u6280\u5927\u5b66\u5ba2\u5ea7\u6559\u6388\uff0c\u535a\u58eb\u751f\u5bfc\u5e08\uff0c\u83b7\u65b0\u52a0\u5761\u5357\u6d0b\u7406\u5de5\u5927\u5b66\u535a\u58eb\u5b66\u4f4d\u3002\u4e3b\u8981\u7814\u7a76\u65b9\u5411\u4e3a\u533b\u5b66\u56fe\u50cf\u5904\u7406\u548c\u4eba\u5de5\u667a\u80fd\u3002\u5728IEEE TPAMI\u3001 TMI\u7b49\u4ee5\u7b2c\u4e00\/\u901a\u8baf\u4f5c\u8005 (\u542b\u5171\u540c)\u53d1\u8868SCI\u8bba\u6587100\u4f59\u7bc7(8\u7bc7ESI\u9ad8\u88ab\u5f15\uff0c1\u7bc7\u70ed\u70b9\u8bba\u6587)\u3002\u8c37\u6b4c\u5b66\u672f\u603b\u5f15\u7528\u8d85\u4e07\u6b21\uff0cH\u6307\u657056\u3002\u4e3b\u6301\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u8054\u5408\u57fa\u91d1\u91cd\u70b91\u9879\uff0c\u9762\u4e0a2\u9879\u7b49\u9879\u76ee20\u4f59\u9879\uff08\u542b\u56fd\u5bb6\u7ea77\u9879\uff09\u3002\u73b0\u4efbIEEE TNNLS\u3001TCYB\u3001TMI\u3001JBHI\u3001Medical Image Analysis\u7b4910\u79cdSCI\u671f\u520a\u7f16\u59d4\u3002IEEE BISP\u3001BIIP\u3001BSP\u7b49\u6280\u672f\u59d4\u5458\u4f1a\u59d4\u5458\uff0c\u533b\u5b66\u56fe\u50cf\u9876\u7ea7\u5b66\u672f\u4f1a\u8baeMICCAI\u9886\u57df\u4e3b\u5e2d\uff082021-2023\uff09\u3002IEEE \u5e7f\u5dde\u5206\u90e8WIE\u4e3b\u5e2d\uff0c\u4eba\u5de5\u667a\u80fdA\u7c7b\u4f1a\u8baeAAAI\u3001IJCAI\u7a0b\u5e8f\u59d4\u5458\u4f1a\u59d4\u5458\uff0c\u5165\u9009\u7f8e\u56fd\u65af\u5766\u798f\u5927\u5b66\u53d1\u5e03\u7684\u201c\u5168\u7403\u524d2%\u9876\u5c16\u79d1\u5b66\u5bb6\u201d\uff082020-2023\uff09\u548c\u7ec8\u8eab\u5f71\u54cd\u529b\u699c\u5355\uff082023\uff09\uff0c\u83b7 \u201c\u5f3a\u56fd\u9752\u5e74\u79d1\u5b66\u5bb6\u201d\u63d0\u540d\uff082022\uff0c\u5168\u56fd\u517140\u4eba\uff09\uff0cCSIG\u77f3\u9752\u4e91\u5973\u79d1\u5b66\u5bb6\u5956\uff082022\uff09\u3002<img decoding=\"async\" src=\"https:\/\/mmbiz.qpic.cn\/sz_mmbiz_jpg\/A0QJroknKI5dmjGPXB4iaiaibpv0FFRUvqnxIic3J2GrENKZWC7GzX2zgrx3B0OgB5K5pHKicbgfYVWU2s9LXNthiaPg\/640?wx_fmt=jpeg&amp;tp=wxpic&amp;wxfrom=5&amp;wx_lazy=1&amp;wx_co=1\" alt=\"\u56fe\u7247\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u738b\u8fde\u751f&nbsp;\uff08\u53a6\u95e8\u5927\u5b66\uff09<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u4e2a\u4eba\u7b80\u4ecb\uff1a<\/strong>\u738b\u8fde\u751f\uff0c\u6bd5\u4e1a\u4e8e\u9999\u6e2f\u4e2d\u6587\u5927\u5b66\uff0c\u73b0\u4e3a\u53a6\u95e8\u5927\u5b66\u4fe1\u606f\u5b66\u9662\u6559\u6388\u3001\u535a\u58eb\u751f\u5bfc\u5e08\uff0c\u53a6\u95e8\u5927\u5b66\u533b\u5b66\u9662\u6d88\u5316\u75c5\u5b66\u7cfb\u53cc\u8058\u6559\u6388\u3001\u535a\u58eb\u751f\u5bfc\u5e08\uff0c\u6570\u5b57\u798f\u5efa\u5065\u5eb7\u533b\u7597\u5927\u6570\u636e\u7814\u7a76\u6240\u526f\u6240\u957f\uff0c\u53a6\u95e8\u5927\u5b66\u533b\u5b66\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u9662\u8d1f\u8d23\u4eba\uff0cMICS\u4e3b\u5e2d\uff0c\u798f\u5efa\u7701\u533b\u5b66\u4f1a\u653e\u5c04\u5b66\u5206\u4f1aAI\u5b66\u7ec4\u526f\u7ec4\u957f\u3002\u957f\u671f\u4ece\u4e8b\u533b\u5b66\u5f71\u50cf\u5904\u7406\u7814\u7a76\uff0c\u4e3b\u6301\u548c\u53c2\u4e0e\u591a\u9879\u79d1\u7814\u9879\u76ee\uff0c\u5305\u62ec\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u4eea\u5668\u4e13\u9879\u3001\u79d1\u6280\u90e8\u79d1\u6280\u521b\u65b02030\u3001\u56fd\u5bb6\u91cd\u70b9\u7814\u53d1\u9879\u76ee\u3001\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u9762\u4e0a\u548c\u9752\u5e74\u9879\u76ee\u7b49\uff0c\u53d1\u8868\u5305\u62ecNature 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