{"id":54,"date":"2025-04-02T17:56:08","date_gmt":"2025-04-02T09:56:08","guid":{"rendered":"http:\/\/106.52.84.14\/?p=54"},"modified":"2025-04-02T17:56:08","modified_gmt":"2025-04-02T09:56:08","slug":"18-01-mics%e5%9c%a8%e7%ba%bf%e5%ad%a6%e6%9c%af%e8%ae%b2%e5%ba%a7%e4%bc%9a%e5%90%8e%e6%80%bb%e7%bb%93","status":"publish","type":"post","link":"https:\/\/www.mics-ai.com\/index.php\/2025\/04\/02\/18-01-mics%e5%9c%a8%e7%ba%bf%e5%ad%a6%e6%9c%af%e8%ae%b2%e5%ba%a7%e4%bc%9a%e5%90%8e%e6%80%bb%e7%bb%93\/","title":{"rendered":"[#18-01] MICS\u5728\u7ebf\u5b66\u672f\u8bb2\u5ea7\u4f1a\u540e\u603b\u7ed3"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><strong>\u5317\u5361\u7f57\u6765\u7eb3\u5927\u5b66\u6559\u5802\u5c71\u5206\u6821\u6c88\u5b9a\u521a\u6559\u63882018\u5e7412\u670818\u65e5MICS\u5728\u7ebf\u5b66\u672f\u8bb2\u5ea7\u6210\u529f\u4e3e\u529e\uff01<\/strong><a href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzU1ODc4Mjg1Mw==&amp;mid=2247483709&amp;idx=1&amp;sn=cbe006428a29b3cdcf3d2622d353d4b7&amp;chksm=fc2001d7cb5788c1f21e459f439075850930c0b66b943190f2f3139301cd85e0dd1db5a8a846&amp;scene=21#wechat_redirect\" target=\"_blank\" rel=\"noreferrer noopener\">[#18-01] MICS\u5728\u7ebf\u5b66\u672f\u8bb2\u5ea7\uff1a\u6c88\u5b9a\u521a<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u533b\u5b66\u56fe\u50cf\u8ba1\u7b97\u9752\u5e74\u7814\u8ba8\u4f1a\uff08Medical Imaging Computing Seminar\uff0cMICS\uff09\u521b\u7acb\u4e8e2014\u5e74\uff0c\u5176\u5b97\u65e8\u662f\u4e3a\u533b\u5b66\u56fe\u50cf\u9886\u57df\u7684\u534e\u4eba\u9752\u5e74\u5b66\u8005\u63d0\u4f9b\u5b66\u672f\u4ea4\u6d41\u5e73\u53f0\uff0c\u589e\u8fdb\u76f8\u4e92\u4e4b\u95f4\u7684\u4e86\u89e3\u548c\u53cb\u8c0a\uff0c\u5e2e\u52a9\u9752\u5e74\u5b66\u8005\u878d\u5165\u5b66\u672f\u7814\u7a76\u5927\u5bb6\u5ead\u3002MICS\u805a\u7126\u4e8e\u8fd1\u4e24\u5e74\u5185\u7684\u533b\u5b66\u56fe\u50cf\u8ba1\u7b97\u9886\u57df\u539f\u521b\u7814\u7a76\uff0c\u6b22\u8fce\u533b\u5b66\u56fe\u50cf\u5904\u7406\u3001\u8ba1\u7b97\u673a\u89c6\u89c9\u3001\u4eba\u5de5\u667a\u80fd\u7b49\u65b0\u7406\u8bba\u3001\u65b0\u65b9\u6cd5\u3001\u65b0\u5e94\u7528\u7684\u5c55\u793a\uff0c\u4ee5\u53ca\u5f71\u50cf\u4e0e\u4e34\u5e8a\u533b\u5b66\u3001\u57fa\u7840\u533b\u5b66\u6df1\u5ea6\u4ea4\u53c9\u7684\u7a81\u7834\u6027\u8fdb\u5c55\u62a5\u544a\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u9996\u5c4aMICS\u5728\u533b\u5b66\u56fe\u50cf\u9886\u57df\u8457\u540d\u5b66\u8005\u3001\u5317\u5361\u7f57\u6765\u7eb3\u5927\u5b66\u6559\u5802\u5c71\u5206\u6821\u6c88\u5b9a\u521a\u6559\u6388\u7684\u5021\u8bae\u4e0b\uff0c\u4e8e2014\u5e7412\u6708\u5728\u6df1\u5733\u5927\u5b66\u4e3e\u884c\u3002\u7ecf\u8fc72015\uff08\u6d4e\u5357\uff09\u30012016\uff08\u5e7f\u5dde\uff09\u30012017\uff08\u4e0a\u6d77\uff09\u30012018\uff08\u5357\u4eac\uff09\u7684\u84ec\u52c3\u53d1\u5c55\uff0cMICS\u4ece\u53c2\u4f1a\u4eba\u6570\u4e0d\u8db3\u767e\u4eba\u5230\u5438\u5f15\u4e0a\u5343\u540d\u4e13\u5bb6\u5b66\u8005\u53c2\u4e0e\uff0c\u5df2\u8fc5\u901f\u6210\u4e3a\u5168\u56fd\u533b\u5b66\u56fe\u50cf\u8ba1\u7b97\u9886\u57df\u6700\u5177\u5f71\u54cd\u529b\u7684\u6d3b\u52a8\u4e4b\u4e00\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u7b2c\u516d\u5c4a\u533b\u5b66\u56fe\u50cf\u8ba1\u7b97\u9752\u5e74\u7814\u8ba8\u4f1a\u5c06\u4e8e2019\u5e747\u670813-14\u65e5\u5728\u82cf\u5dde\u5927\u5b66\u4e3e\u529e\u3002\u5728\u6b64\uff0c\u8c28\u5bf9\u672c\u9886\u57df\u4e13\u5bb6\u5b66\u8005\u957f\u671f\u4ee5\u6765\u7684\u5927\u529b\u652f\u6301\u8868\u793a\u611f\u8c22\uff0c\u5e76\u6b22\u8fce\u5e7f\u5927\u9752\u5e74\u5b66\u8005\u8385\u4e34\u82cf\u5dde\u5927\u5b66\uff0c\u79ef\u6781\u53c2\u4e0eMICS 2019\uff0c\u5171\u540c\u7e41\u8363MICS\u5927\u5bb6\u5ead\uff01<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u5728\u672c\u6b21Webinar\u4e2d\uff0c\u6c88\u5b9a\u521a\u6559\u6388\u57fa\u4e8e\u5176\u56e2\u961f2018\u5e74\u6700\u65b0\u7684\u7814\u7a76\u6210\u679c\uff0c\u5206\u522b\u4ecesegmentation\u3001parcellation\u3001registration\u3001classification\u3001\u8f85\u52a9\u8bca\u65ad\u548c\u6cbb\u7597\u7b49\u65b9\u9762\u8fdb\u884c\u4e86\u8be6\u7ec6\u4ecb\u7ecd\uff0c\u5185\u5bb9\u57fa\u672c\u6db5\u76d6\u4e86\u533b\u5b66\u56fe\u50cf\u5904\u7406\u7684\u6574\u4e2a\u8fc7\u7a0b\u3002\u6700\u540e\u6c88\u5b9a\u521a\u6559\u6388\u56de\u7b54\u4e86\u89c2\u4f17\u6240\u63d0\u51fa\u7684\u76f8\u5173\u95ee\u9898\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u95ee\u7b54\u73af\u8282<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u5728\u505aparcellation\u65f6\uff0c\u5c24\u5176\u662f\u5a74\u513f\u7684\uff0cground truth\u662f\u600e\u4e48\u6837\u7684\uff0c\u600e\u6837\u8bc4\u4ef7parcellation\u7684\u597d\u574f\uff1f<br>\u56de\u7b54\uff1a\u8bc4\u4ef7parcellation\u7684\u597d\u574f\u6211\u4eec\u4e00\u822c\u6709\u4e24\u79cd\u65b9\u5f0f\uff0c\u4e00\u79cd\u662f\u8ddf\u6240\u8c13\u7684\u4eba\u5de5\u6807\u6ce8\u6570\u636e\u76f8\u6bd4\uff0c\u7b2c\u4e8c\u662f\u6839\u636emathematical phantom\uff0c\u6765\u6bd4\u8f83\u5206\u5272\u7ed3\u679c\u8ddf\u76f8\u5e94\u7684ground truth\u3002<br><\/li>\n\n\n\n<li>PPT\u4e2d\u8bb2\u5230\u7684\u65b9\u6cd5\u6216\u8005code\u662f\u5426\u5f00\u6e90\u5462\uff1f<br>\u56de\u7b54\uff1a\u6211\u4eec\u9f13\u52b1\u5f00\u6e90\u5e76\u4e14\u73b0\u5728\u5f88\u591acode\u5df2\u7ecf\u5f00\u6e90\u4e86\uff0c\u6bd4\u5982Nie Dong\u7684\u65b9\u6cd5(Medical image synthesis with context-aware generative adversarial networks)\uff0c\u53d1\u8868\u5728MICCAI 2017\u4e0a\u7684\u6587\u7ae0\u4e5f\u5df2\u7ecfcitation\u4e00\u767e\u591a\u6b21\u3002<br><\/li>\n\n\n\n<li>PPT\u4e2d\u63d0\u5230\u7684\u8bba\u6587\u53ef\u4ee5\u4e0b\u8f7d\u4e48\uff1f<br>\u56de\u7b54\uff1a\u53ef\u4ee5\u4e0b\u8f7d\uff0c\u56e0\u4e3a\u5f88\u591a\u6587\u7ae0\u90fd\u662f\u5df2\u7ecf\u53d1\u8868\uff0c\u5305\u62ec\u5728MICCAI\u6216\u8005Medical Image Analysis\u4e0a\u3002<br><\/li>\n\n\n\n<li>\u7b2c\u56db\u4e2a\u5de5\u4f5c\u4e2d\uff0cASP Net\u7f51\u7edc\u4e2d\u54ea\u90e8\u5206\u4f53\u73b0semi-supervised\uff1f<br>\u56de\u7b54\uff1a\u9996\u5148\u6211\u4eec\u7528manual label\u7684\u6570\u636e\u8bad\u7ec3\u597d\u7f51\u7edc\uff0c\u7136\u540e\u8f93\u5165\u6ca1\u6709manual label\u7684\u6570\u636e\u5f97\u5230\u4e00\u4e2aconfidence map\uff0cconfidence map\u4e2d\u7f6e\u4fe1\u5ea6\u9ad8\u7684\u533a\u57df\u53ef\u4ee5\u5f53\u4f5c\u65b0\u7684label\u8fc7\u7684\u6837\u672c\u6765\u7ee7\u7eed\u8bad\u7ec3\u7f51\u7edc\uff0c\u8fd9\u91cc\u4f53\u73b0semi-supervised\u3002<br><\/li>\n\n\n\n<li>\u4e0d\u540c\u4e8e\u4f20\u7edf\u65b9\u6cd5\u7684pipeline\u662f\u6307AI\u4e48\uff1f<br>\u56de\u7b54\uff1a\u4e0d\u4ec5\u4ec5\u6307AI\u3002 Typical pipeline\u4e2d\u7684\u6bcf\u4e00\u4e2a\u73af\u8282\u90fd\u53ef\u4ee5\u4f7f\u7528deep learning\uff0c \u4f46\u662ftypical pipeline\u4e2d\u7684\u5404\u4e2a\u73af\u8282\u662f\u76f8\u4e92\u72ec\u7acb\u7684\uff0c \u6ca1\u6709\u4ea4\u6d41\u3002\u5e76\u4e0d\u662f\u8bf4\u6574\u4e2atypical pipeline\u4e2d\u4e0d\u80fd\u7528AI\uff0c \u800c\u662f\u6240\u6709\u7684network\u90fd\u662f\u72ec\u7acb\u7684\uff0c\u6240\u4ee5\u6700\u540e\u7684\u7ed3\u679c\u662f\u6ca1\u6cd5\u4fdd\u8bc1\u6700\u4f18\u7684\u3002\u5982\u679c\u8981\u89e3\u51b3\u4e00\u4e2a\u95ee\u9898\uff0c\u4ece\u6700\u57fa\u672c\u7684\u56fe\u50cf\u9884\u5904\u7406\u5230\u6700\u540e\u7684\u6240\u8c13\u7279\u5f81\u63d0\u53d6\u6216\u8005\u5206\u7c7b\uff0cdeep learning\u5168\u90e8\u53ef\u4ee5\u505a\uff0c\u6bd4\u5982\u7528landmark-based\u7684\u65b9\u6cd5\u3002<br><\/li>\n\n\n\n<li>Landmark\u7684ground truth\u662f\u4ec0\u4e48<br>\u56de\u7b54\uff1a\u6211\u4eec\u5e0c\u671b\u628alandmark\u653e\u5230\u8ddfdisease\u6709\u5173\u7684\u75c5\u53d8\u533a\u57df\uff0c\u90a3\u600e\u4e48\u627e\u5230\u75c5\u53d8\u533a\u57df\u5462\uff1f \u5047\u5982\u6709\u4e00\u5806\u6b63\u5e38\u56fe\u50cf\u548c\u4e00\u5806\u8001\u5e74\u75f4\u5446\u75c7\u7684\u56fe\u50cf\uff0c\u7528\u975e\u5e38\u590d\u6742\u7684\u65b9\u6cd5\u505a\u56fe\u50cf\u7684\u5206\u5272\u3001\u56fe\u50cf\u7684\u914d\u51c6\uff0c\u914d\u51c6\u5230\u6807\u51c6\u7a7a\u95f4\u3002\u7136\u540e\u6b63\u5e38\u56fe\u50cf\u548c\u75c5\u53d8\u56fe\u50cf\u505avoxel-wise\u7684\u6bd4\u8f83\uff0c\u5dee\u522b\u5927\u7684\u533a\u57df\u653elandmark\u3002<br><\/li>\n\n\n\n<li>\u6df1\u5ea6\u5b66\u4e60\u5bf9\u8111\u9f84\u7814\u7a76\u7684\u5efa\u8bae\uff1f\u505a\u8111\u9f84\u7684\u9884\u6d4b\u6709\u610f\u4e49\u5417\uff1f<br>\u56de\u7b54\uff1a\u7ed9\u4f60\u4e00\u4e2aimage\uff0c\u4f60\u53ef\u4ee5\u9884\u6d4b\u8fd9\u4e2a\u4eba\u4f1a\u4e0d\u4f1a\u60a3\u8001\u5e74\u75f4\u5446\u75c7\uff0c\u8fd9\u6837\u7684\u65b9\u6cd5\u4e5f\u53ef\u4ee5\u9884\u6d4b\u5e74\u9f84\uff0c\u65b9\u6cd5\u4e0a\u6ca1\u6709\u4ec0\u4e48\u533a\u522b\u3002\u4f60\u8bf4\u7684\u95ee\u9898\u662f\u6709\u610f\u4e49\u7684\u3002\u6bd4\u5982\u8bf4\u6709\u4e9b\u4eba\u975e\u5e38\u975e\u5e38\u8001\u4e86\uff0c\u4f46\u662f\u4ed6\u4eec\u7684\u8111\u5b50\u53ef\u80fd\u5f88\u5e74\u8f7b\u3002\u5c31\u50cf\u505a\u9aa8\u9f84\u5206\u6790\u4e00\u6837\uff0c\u505a\u9aa8\u9f84\u5206\u6790\u53ef\u4ee5\u9884\u6d4b\u4e00\u4e2a\u5c0f\u5b69\u662f\u5426\u957f\u7684\u592a\u6162\u4e86\uff0c\u6216\u8005\u8bf4\u4e00\u4e2a\u5c0f\u5b69\u53ef\u80fd\u5341\u5c81\uff0c\u4f46\u4ed6\u7684\u9aa8\u9f84\u53ef\u80fd\u662f\u5341\u4e09\u3001\u5341\u56db\u5c81\uff0c\u4e5f\u5c31\u662f\u8bf4\u540e\u9762\u518d\u957f\u9ad8\u7684\u53ef\u80fd\u6027\u4e0d\u5927\u4e86\uff0c\u90a3\u662f\u975e\u5e38\u6709\u610f\u4e49\u7684\u3002\u505a\u8111\u9f84\u4e5f\u662f\u6709\u610f\u4e49\u7684\uff0c\u73b0\u5728\u56fd\u5185\u6709\u5f88\u591a\u4f53\u68c0\u4e2d\u5fc3\uff0c\u505a\u8111\u9f84\u7684\u68c0\u67e5\u53ef\u4ee5\u8bc4\u4f30\u8111\u5b50\u7684\u5065\u5eb7\u6210\u7a0b\u5ea6\u3002\u73b0\u5728\u5f88\u591a\u65b9\u6cd5\u5e76\u4e0d\u662f\u4e00\u5b9a\u8981\u505a\u75be\u75c5\u7684\u8bca\u65ad\uff0c\u800c\u662f\u505a\u5065\u5eb7\u7ba1\u7406\uff0c\u4ece\u8fd9\u4e2a\u5c42\u9762\u4e0a\u8bf4\uff0c\u505a\u8111\u9f84\u7684\u8bdd\u662f\u975e\u5e38\u6709\u610f\u4e49\u7684\u3002<br><\/li>\n\n\n\n<li>\u5a74\u513f\u8111\u533a\u5206\u5272\u6280\u672f\u4ec0\u4e48\u65f6\u5019\u8fdb\u5165\u4e34\u5e8a\uff1f<br>\u56de\u7b54\uff1a\u5728\u56fd\u5185\u8fdb\u5165\u4e34\u5e8a\u7684\u53ef\u80fd\u6027\u5e94\u8be5\u662f\u975e\u5e38\u5927\uff0c\u56e0\u4e3a\u56fd\u5185\u5927\u7684\u4e13\u79d1\u533b\u9662\u91c7\u7528\u4e86\u5f88\u591a\u56fe\u50cf\uff0c\u505a\u81ea\u95ed\u75c7\u7684\u8bca\u65ad\uff0c\u6240\u4ee5\u505a\u51fa\u6765\u7684AI\u65b9\u6cd5\u4e34\u5e8a\u5e94\u7528\u7684\u53ef\u80fd\u6027\u975e\u5e38\u5927\u3002\u6211\u8ba4\u4e3a\u5728\u4e13\u79d1\u533b\u9662\u4f7f\u7528\u7684\u53ef\u80fd\u6027\u975e\u5e38\u5927\u3002<br><\/li>\n\n\n\n<li>Confidence network \u8bad\u7ec3\u65f6\u8f93\u5165\u662f\u4ec0\u4e48\uff1f<br>\u56de\u7b54\uff1a\u8f93\u5165\u662fpredicted mask\u548cground truth mask\u3002\u6211\u4eec\u5e0c\u671bconfidence map\u4e0a\u7684\u6bcf\u4e2a\u4f4d\u7f6e\u90fd\u6709high confidence\uff0c\u4e5f\u662f\u5c31\u8bf4\u6211\u4eec\u5e0c\u671b\u6bcf\u4e00\u4e2a\u533a\u57df\u90fd\u80fd\u591f\u505a\u4e00\u4e2a\u5f88\u597d\u7684\u5206\u5272\uff0c\u8fd9\u4e9b\u5206\u5272\u597d\u7684\u533a\u57df\u4e5f\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u8fdb\u4e00\u6b65\u8bad\u7ec3\u7f51\u7edc\u3002<br><\/li>\n\n\n\n<li>\u7528deep learning\u505a\u914d\u51c6MRI\u548cPET\u7684\u65f6\u5019\uff0c\u600e\u4e48\u7528\u5224\u522b\u5668\u8868\u793a\u4e24\u4e2apatch\u662f\u5426\u914d\u51c6\u597d\u4e86\uff1f<br>\u56de\u7b54\uff1a\u8fd9\u5c31\u662f\u6211\u521a\u624d\u6240\u8bf4\u7684\u7528discriminator network\u6765\u5224\u65ad\u662f\u5426\u914d\u51c6\u3002\u8fd9\u91cc\u9762\u6709\u4e00\u7cfb\u5217\u6280\u672f\u65b9\u9762\u7684\u95ee\u9898\uff0c\u6bd4\u5982\u8bf4\u540c\u65f6\u6709MRI\u548cPET\u7684\u60c5\u51b5\u4e0b\uff0c\u4e5f\u5c31\u662f\u914d\u51c6\u597d\u7684\u56fe\u50cf\u53ef\u4ee5\u4f5c\u4e3aground truth\u3002\u914d\u51c6\u597d\u7684\u8ddf\u6ca1\u914d\u597d\u7684\u4e4b\u95f4\u7528\u4e00\u4e2aweight\uff0c\u5c31\u662f\u6309\u7167\u03b1 \u548c(1-\u03b1)\u6bd4\u4f8b\u628a\u4ed6\u4eec\u52a0\u8d77\u6765\uff0c\u5c31\u53ef\u4ee5\u8bad\u7ec3\u4e00\u4e2a\u6240\u8c13\u7684discriminator network\u3002<br><\/li>\n\n\n\n<li>Spatial transformation network\u505a\u914d\u51c6\u7684\u65f6\u5019\uff0c\u8bad\u7ec3\u9700\u8981\u5df2\u7ecf\u914d\u51c6\u597d\u7684\u56fe\u50cf\u4f5c\u4e3a\u8f93\u5165\u5417\uff1f<br>\u56de\u7b54\uff1a\u4e0d\u662f\u8fd9\u6837\u7684\uff0c\u6574\u4e2a\u7f51\u7edc\u4e0d\u9700\u8981\u5df2\u7ecf\u914d\u51c6\u597d\u7684\u56fe\u50cf\uff0c\u56e0\u4e3a\u6574\u4e2a\u7f51\u7edc\u5c31\u662f\u8981\u505a\u914d\u51c6\uff1b\u5b83\u6709\u4e00\u4e2aloss function \u662f\u9700\u8981\u7f51\u7edcminimize\u7684\uff0c\u8fd9\u5c31\u610f\u5473\u7740\u4e24\u4e2a\u8f93\u5165\u7684image\u662f\u5426\u914d\u51c6\u597d\u4e86\u3002<br><\/li>\n\n\n\n<li>\u5a74\u513f\u8111\u533a\u5206\u5272\uff0cgraph cut\u8ddfdeep learning\u65b9\u6cd5\u5982\u4f55\u7ed3\u5408\uff1f<br>\u56de\u7b54\uff1a\u8fd9\u4e2a\u975e\u5e38\u7b80\u5355\uff0c\u5206\u5272\u51fa\u6765\u7684\u7ed3\u679c\u76f8\u5f53\u4e8e\u4e00\u4e2aprobability map\uff0c\u7136\u540e\u5728probability map\u4e0a\u7528graph cut\u6765\u6539\u8fdb\u5206\u5272\u7ed3\u679c\u3002\u4e0d\u8fc7\uff0c\u6211\u76f8\u4fe1\u5982\u679c\u628a\u8fd9\u4e9b\u8fc7\u7a0b\u5728\u4e00\u4e2anetwork\u4e00\u8d77\u5b8c\u6210\u7684\u8bdd\uff0c\u53ef\u80fd\u4f1a\u505a\u7684\u66f4\u597d\u3002<br><\/li>\n\n\n\n<li>\u5982\u4f55\u770b\u5f85\u6df1\u5ea6\u6a21\u578b\u7684\u53ef\u89e3\u91ca\u6027<br>\u56de\u7b54\uff1a\u8fd9\u4e2a\u4e00\u76f4\u662f\u5927\u5bb6\u975e\u5e38\u5173\u6ce8\u7684\u95ee\u9898\uff0c\u7279\u522b\u662f\u5728medical image\u4e0a\u7684\u5e94\u7528\uff0c\u6211\u4eec\u4e0d\u80fd\u628a\u5b83\u4f5c\u4e3a\u4e00\u4e2a\u9ed1\u7bb1\uff0c\u56e0\u4e3a\u533b\u751f\u4e0d\u5149\u8981\u77e5\u9053\u7ed3\u679c\uff0c\u8fd8\u8981\u77e5\u9053\u4e3a\u4ec0\u4e48\u3002\u6211\u4eec\u5728\u8fd9\u65b9\u9762\u4e5f\u505a\u4e86\u4e0d\u5c11\u5de5\u4f5c\uff0c\u4ecenetwork\u91cc\u9762\u53ef\u4ee5\u53cd\u5411\u5f97\u5230attention map\uff0c\u8fd9\u6837\u53ef\u4ee5\u77e5\u9053\u4f60\u505a\u76f8\u5e94\u4efb\u52a1\u65f6\uff0c\u5173\u6ce8\u4e86\u54ea\u4e9b\u533a\u57df\uff0c\u53ef\u4ee5\u90e8\u5206\u8fbe\u5230\u53ef\u89e3\u6790\u6027\u3002<br><\/li>\n\n\n\n<li>\u6211\u4eec\u76ee\u524d\u7528\u8fd9\u4e9bAI\u65b9\u6cd5\u7684\u5f15\u5165\uff0c\u6211\u4eec\u662f\u4e0d\u662f\u80fd\u5f97\u5230\u4e00\u4e9b\u65b0\u7684\u4fe1\u606f\u6765\u5f15\u5bfc\u6211\u4eec\u5206\u5272\uff0c\u5c31\u8bf4\u6709\u6ca1\u6709\u4ec0\u4e48\u542f\u53d1\uff0c\u6216\u8005\u8bf4AI\u53d1\u73b0\u4e86\u6211\u4eec\u4eba\u7c7b\u6ca1\u6709\u53d1\u73b0\u7684\u89c4\u5f8b\u3002<br>\u56de\u7b54\uff1a\u7b54\u6848\u662f\u80af\u5b9a\u7684\u3002\u5c31\u50cfAlphaGo\u4e0b\u68cb\uff0cnetwork\u53ef\u4ee5discover\u4e00\u4e9b\u975e\u5e38\u597d\u7684\u4e0b\u68cb\u62db\u6570\uff0c\u4eba\u6ca1\u6709\u7528\u8fc7\u3002\u8fd9\u4e2a\u5728\u533b\u5b66\u56fe\u50cf\u91cc\u9762\u5176\u5b9e\u4e5f\u662f\u4e00\u6837\u7684\uff0c\u5c31\u50cf\u6211\u521a\u624d\u8bf4\u7684\uff0c\u8f93\u5165\u6574\u4e2aimage\uff0cnetwork\u53ef\u4ee5\u81ea\u52a8\u53d1\u73b0\u54ea\u4e9b\u533a\u57df\u5bf9\u8001\u5e74\u75f4\u5446\u75c7\u6709\u7528\uff0c\u5176\u4e2d\u53ef\u80fd\u6709\u4e9b\u533a\u57df\u662f\u533b\u751f\u4ee5\u524d\u4ece\u6765\u4e0d\u5173\u5fc3\u7684\u533a\u57df\uff0c\u4f46\u5bf9\u8bca\u65ad\u975e\u5e38\u6709\u7528\uff0c\u8fd9\u6837\u7684\u8bdd\u5c31\u5f62\u6210\u4e86\u4e00\u4e2a\u65b0\u7684knowledge\uff0c\u4f7f\u533b\u751f\u4ee5\u540e\u8bca\u65ad\u65f6\u5173\u6ce8\u5230\u8fd9\u4e9b\u533a\u57df\u3002<br><\/li>\n\n\n\n<li>Densenet\u5728\u4eba\u8111\u56fe\u50cf\u5904\u7406\u65b9\u9762\u662f\u4e0d\u662f\u6bd4\u6b8b\u5dee\u7f51\u7edc\u597d\u4e00\u4e9b\uff1f<br>\u56de\u7b54\uff1a\u8fd9\u975e\u5e38\u96be\u8bf4\uff0c\u5176\u5b9e\u6211\u6ca1\u6709\u4ecb\u7ecd\u6211\u4eec\u7684\u53e6\u5916\u4e00\u4e2a\u5de5\u4f5c\uff0c\u5982\u679c\u4f60\u53bb\u770b\u4e00\u4e0b\u6211\u4eec\u4eca\u5e74\u7684\u53e6\u5916\u4e00\u7bc7\u7684MICCAI\u5de5\u4f5c\uff0c\u662f\u6211\u4eec\u7684\u4e00\u4e2a\u8bbf\u95ee\u5b66\u751fZhou Sihang\u505a\u7684\uff0c\u4ed6\u7684network\u65e2\u5305\u542b\u4e86dense net\u53c8\u5305\u542b\u4e86\u6b8b\u5dee\u7f51\u7edc\uff0c\u4e24\u4e2a\u7ed3\u5408\u8d77\u6765\uff0c\u53ef\u4ee5\u5f97\u5230\u66f4\u597d\u7684\u7ed3\u679c\u3002\u5176\u5b9e\u5f88\u591a\u60c5\u51b5\u4e0b\uff0c\u4e00\u4e2a\u65b9\u6cd5\u5e76\u4e0d\u4e00\u5b9a\u6bd4\u53e6\u5916\u4e00\u4e2a\u65b9\u6cd5\u597d\u591a\u5c11\uff0c\u4f46\u662f\u628a\u8fd9\u4e9b\u65b9\u6cd5\u7684\u4f18\u70b9\u6709\u673a\u7684\u7ed3\u5408\u8d77\u6765\uff0c\u53ef\u4ee5\u5f97\u5230\u66f4\u597d\u7684\u7ed3\u679c\u3002<br><\/li>\n\n\n\n<li>\u533b\u5b66\u56fe\u50cf\u5904\u7406\u65b9\u9762\uff0c\u5bf9\u521d\u5b66\u8005\u7684\u5efa\u8bae\uff1f<br>\u56de\u7b54\uff1a\u8fd9\u5176\u5b9e\u662f\u4e00\u4e2a\u5f88\u597d\u7684\u95ee\u9898\uff0c\u6211\u60f3\u8bf4\u5b66\u751f\u4eec\u4e0d\u8981\u53ea\u5b66deep learning\uff0c\u4efb\u4f55\u4e00\u4e2a\u6280\u672f\u8fc7\u4e9b\u5e74\u4ee5\u540e\u80af\u5b9a\u4e0d\u6d41\u884c\u3002\u5982\u679c\u4f60\u73b0\u5728\u53ea\u77e5\u9053deep learning\uff0c\u53ea\u77e5\u9053\u8c03\u53c2\u6570\uff0c\u4f46\u4e0d\u77e5\u9053\u91cc\u9762\u7684\u4e00\u4e9bmathematical\u4e1c\u897f\uff0c\u90a3\u4e48\u8fd9\u4e00\u6ce2\u8fc7\u4e86\u4ee5\u540e\uff0c\u4f60\u53ef\u80fd\u5f88\u96be\u505a\u4e00\u4e9b\u6df1\u5165\u7684\u5de5\u4f5c\uff0c\u53ef\u80fd\u5bf9\u4ee5\u540e\u7684\u5de5\u4f5c\u4e5f\u6709\u5f71\u54cd\u3002deep learning\u662f\u4e00\u4e2a\u975e\u5e38\u597d\u7684\u5de5\u5177\uff0c\u600e\u4e48\u6837\u628adeep learning\u8ddf\u4f20\u7edf\u7684\u65b9\u6cd5\u7ed3\u5408\u8d77\u6765\uff0c\u8d85\u8fc7\u90a3\u4e9b\u53ea\u7528deep learning\u7684\u4eba\uff0c\u8fd9\u70b9\u975e\u5e38\u91cd\u8981\uff1b\u6240\u4ee5\u6211\u4f1a\u8ba9\u6211\u7684\u5b66\u751f\u770b\u4e00\u4e9b\u975e\u5e38\u7ecf\u5178\u7684paper\uff0c\u867d\u7136\u73b0\u5728\u7528\u4e0d\u4e0a\uff0c\u4f46\u662f\u8981\u77e5\u9053\u8fd9\u4e9b\u7ecf\u5178\u65b9\u6cd5\u7684\u539f\u7406\u3002\u6211\u7684\u539f\u5219\u662f\uff0c\u4e0d\u8981\u53ea\u5b66\u4e00\u4e2a\u6280\u672f\uff0c\u4efb\u4f55\u6280\u672f\u90fd\u662f\u6709\u7528\u7684\u3002 \u5982\u679c\u53ea\u5b66deep learning\u4e0d\u5b66\u5176\u4ed6\u65b9\u6cd5\uff0c\u5f88\u96be\u8d70\u5f97\u8fdc\u3002\u5982\u679c\u4f60\u5b66\u4e86\u5f88\u591a\u9886\u57df\u7684\u77e5\u8bc6\uff0c\u77e5\u9053\u600e\u6837\u5c06deep learning\u548c\u4f60\u9886\u57df\u77e5\u8bc6\u7ed3\u5408\u8d77\u6765\uff0c\u8fd9\u6837\u4f60\u53ef\u4ee5\u505a\u5f97\u6bd4\u522b\u4eba\u8981\u597d\u3002\u6240\u4ee5\u8bf4deep learning\u53ea\u662f\u4e00\u4e2a\u5de5\u5177\uff0c\u628adeep 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