{"id":484,"date":"2025-04-03T09:51:40","date_gmt":"2025-04-03T01:51:40","guid":{"rendered":"http:\/\/106.52.84.14\/?p=484"},"modified":"2025-04-03T09:51:40","modified_gmt":"2025-04-03T01:51:40","slug":"20-06-mics%e5%9c%a8%e7%ba%bf%e5%ad%a6%e6%9c%af%e8%ae%b2%e5%ba%a7%ef%bc%9a%e7%aa%a6%e7%90%aa","status":"publish","type":"post","link":"https:\/\/www.mics-ai.com\/index.php\/2025\/04\/03\/20-06-mics%e5%9c%a8%e7%ba%bf%e5%ad%a6%e6%9c%af%e8%ae%b2%e5%ba%a7%ef%bc%9a%e7%aa%a6%e7%90%aa\/","title":{"rendered":"[#20-06] MICS\u5728\u7ebf\u5b66\u672f\u8bb2\u5ea7\uff1a\u7aa6\u742a"},"content":{"rendered":"\n
\u5609\u5bbe<\/strong><\/td>\u7aa6\u742a \uff08\u9999\u6e2f\u4e2d\u6587\u5927\u5b66\uff09<\/td><\/tr>
\u65f6\u95f4<\/strong><\/td>2020\u5e7404\u670828\u65e5\uff08\u661f\u671f\u4e8c\uff09 \u665a\u4e0a20\uff1a00\uff08\u5317\u4eac\u65f6\u95f4\uff09<\/td><\/tr>
\u9898\u76ee<\/strong><\/td>\u6df1\u5ea6\u5b66\u4e60\u5728\u533b\u5b66\u56fe\u50cf\u5206\u5272\u4e2d\u7684\u6a21\u578b\u6cdb\u5316\u6027\u80fd\u7814\u7a76<\/td><\/tr>
\u4e3b\u6301<\/strong><\/td>\u738b\u8fde\u751f \uff08\u53a6\u95e8\u5927\u5b66\uff09<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
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\"\u56fe\u7247\"\/<\/figure>\n<\/div><\/div>\n<\/div>\n\n\n\n

\u62a5\u544a\u6458\u8981<\/strong><\/p>\n\n\n\n

\u533b\u5b66\u56fe\u50cf\u5206\u5272\u662f\u533b\u5b66\u5f71\u50cf\u5206\u6790\u9886\u57df\u7684\u7ecf\u5178\u95ee\u9898\u4e4b\u4e00\uff0c\u5bf9\u5668\u5b98\u7ec4\u7ec7\u53ca\u80bf\u7624\u75c5\u7076\u7684\u81ea\u52a8\u5316\u7cbe\u51c6\u5206\u5272\u662f\u9ad8\u6548\u89e3\u51b3\u8bf8\u591a\u4e34\u5e8a\u8bca\u7597\u5e94\u7528\u7684\u5148\u51b3\u6761\u4ef6\uff0c\u6bd4\u5982\u75be\u75c5\u5b9a\u91cf\u8bc4\u4f30\uff0c\u4e09\u7ef4\u91cd\u5efa\uff0c\u653e\u7597\u89c4\u5212\uff0c\u624b\u672f\u5bfc\u822a\uff0c\u53ef\u89c6\u5316\uff0c\u968f\u8bbf\u7b49\u3002\u672c\u62a5\u544a\u9996\u5148\u4ecb\u7ecd\u8fd1\u5e74\u6765\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\u5728\u533b\u5b66\u56fe\u50cf\u81ea\u52a8\u5316\u5206\u5272\u4e0a\u53d6\u5f97\u7684\u6210\u679c\uff0c\u63a2\u8ba8\u5982\u4f55\u4f18\u5316\u7f51\u7edc\u7ed3\u6784\u8bbe\u8ba1\u63d0\u5347\u6027\u80fd\uff0c\u6d89\u53ca\u57fa\u4e8eCT\u3001MRI\u4e09\u7ef4\u5f71\u50cf\u5206\u5272\u809d\u810f\u53ca\u809d\u80bf\u7624\uff0c\u8111\u53ca\u8111\u80bf\u7624\uff0c\u5fc3\u810f\uff0c\u690e\u95f4\u76d8\uff0c\u9f3b\u54bd\u764c\uff0c\u5927\u80a0\u764c\u7b49\u3002\u6b64\u5916\uff0c\u968f\u7740\u4eba\u5de5\u667a\u80fd\u63a8\u52a8\u533b\u5b66\u5f71\u50cf\u8ba1\u7b97\u9886\u57df\u7684\u53d1\u5c55\u65e5\u65b0\u6708\u5f02\uff0c\u89c4\u6a21\u5316\u4e34\u5e8a\u5e94\u7528\u5f70\u663e\u5de8\u5927\u6f5c\u529b\uff0c\u4f46\u795e\u7ecf\u7f51\u7edc\u7684\u6cdb\u5316\u6027\u80fd\u5c1a\u5b58\u5728\u6311\u6218\uff0c\u963b\u788d\u7740\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\u5728\u590d\u6742\u5b9e\u9645\u573a\u666f\u4e2d\u7684\u4e34\u5e8a\u90e8\u7f72\u3002\u672c\u62a5\u544a\u5c06\u9488\u5bf9\u5982\u4f55\u89e3\u51b3\u6a21\u578b\u6cdb\u5316\u548c\u9c81\u68d2\u6027\u95ee\u9898\uff0c\u7ed3\u5408\u533b\u5b66\u56fe\u50cf\u5206\u5272\u5e94\u7528\u573a\u666f\uff0c\u63a2\u8ba8\u9886\u57df\u81ea\u9002\u5e94\uff0c\u672a\u77e5\u9886\u57df\u6cdb\u5316\uff0c\u591a\u4e2d\u5fc3\u6570\u636e\u878d\u5408\uff0c\u8de8\u6a21\u6001\u8fc1\u79fb\u7b49\u95ee\u9898\uff0c\u6db5\u76d6\u65e0\u76d1\u7763\u5b66\u4e60\uff0c\u7279\u5f81\u89e3\u8026\uff0c\u56fe\u50cf\u98ce\u683c\u8fc1\u79fb\uff0c\u5143\u5b66\u4e60\uff0c\u5ea6\u91cf\u5b66\u4e60\uff0c\u77e5\u8bc6\u84b8\u998f\u7b49\u6280\u672f\u3002\u62a5\u544a\u4e2d\u76f8\u5173\u5de5\u4f5c\u4ee3\u7801\u5747\u5df2\u5f00\u6e90\u3002<\/p>\n\n\n\n

1. Q. Dou<\/strong>, Q. Liu, P. A. Heng and B. Glocker, \u201cUnpaired Multi-modal Segmentation via Knowledge Distillation.\u201d IEEE Transactions on Medical Imaging, 2020.<\/p>\n\n\n\n

2. Q. Dou<\/strong>, D. C. Castro, K. Kamnitsas and B. Glocker, \u201cDomain Generalization via Model-Agnostic Learning of Semantic Features.\u201d In Advances of Neural Information Processing Systems (NeurIPS), pp.6447-6458, 2019.<\/p>\n\n\n\n

3. Q. Dou<\/strong>, C. Ouyang, C. Chen, H. Chen and P. A. Heng, \u201cUnsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentation with Adversarial Loss\u201d. In Proceedings of International Joint Conference on Artificial Intelligence (IJCAI), pp.691-697, 2018.<\/p>\n\n\n\n

4. Q. Dou<\/strong>, L. Yu, H. Chen, Y. Jin, X. Yang, J. Qin and P. A. Heng, \u201c3D Deeply Supervised Network for Automated Segmentation of Volumetric Medical Images\u201d. Medical Image Analysis, pp.40-54, 41, 2017.<\/p>\n\n\n\n

5. Q. Dou<\/strong>, H. Chen, L. Yu, L. Zhao, J. Qin, D. Wang, VCT Mok, L. Shi and P. A. Heng, \u201cAutomatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks.\u201d IEEE Transactions on Medical Imaging, 35(5), pp.1182-1195, 2016.<\/p>\n\n\n\n

\u5609\u5bbe\u7b80\u4ecb<\/strong><\/p>\n\n\n\n

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\u7279\u522b\u611f\u8c22\u672c\u6b21Webinar\u4e3b\u8981\u7ec4\u7ec7\u8005\uff1a<\/strong><\/p>\n\n\n\n

\u738b\u8fde\u751f\uff08\u53a6\u95e8\u5927\u5b66\uff09<\/strong><\/strong><\/p>\n\n\n\n

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1. MICS\u5728\u7ebf\u5b66\u672f\u8bb2\u5ea7\u4f9d\u6258\u5728\u7ebf\u76f4\u64ad\u5e73\u53f0\u8fdb\u884c\uff0c\u542c\u4f17\u8bf7\u70b9\u51fb\u76f4\u64ad\u94fe\u63a5https:\/\/live.polyv.cn\/watch\/1289623\uff08\u6ce8\uff1a\u8be5\u94fe\u63a5\u4e3a4\u670828\u65e5\u62a5\u544a\u94fe\u63a5\uff0c\u8be5\u94fe\u63a5\u6bcf\u671f\u4f1a\u548c\u8bb2\u8005\u4fe1\u606f\u4e00\u8d77\u66f4\u65b0\uff09\u53c2\u52a0\u6d3b\u52a8\uff0c\u652f\u6301\u5b89\u88c5Windows\u7cfb\u7edf\u7684\u7535\u8111\u3001MAC\u7535\u8111\u3001\u624b\u673a\u7b49\u8bbe\u5907\uff1b\u624b\u673a\u5ba2\u6237\u7aef\u4e5f\u53ef\u76f4\u63a5\u626b\u63cf\u4e8c\u7ef4\u7801\u8fdb\u5165\u76f4\u64ad\uff1b<\/p>\n\n\n

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\"\"<\/figure>\n<\/div>\n\n\n

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2. \u6d3b\u52a8\u5f00\u59cb\u524d5\u5206\u949f\u5de6\u53f3\uff0c\u8bb2\u8005\u4f1a\u5f00\u542f\u76f4\u64ad\uff0c\u6d3b\u52a8\u65f6\u8bb2\u8005\u4f1a\u4e0a\u4f20PPT\u6216\u5171\u4eab\u5c4f\u5e55\uff0c\u542c\u4f17\u53ef\u4ee5\u770b\u5230Slides\uff0c\u542c\u5230\u8bb2\u8005\u7684\u8bed\u97f3\uff0c\u5e76\u901a\u8fc7\u804a\u5929\u529f\u80fd\u4e0e\u8bb2\u8005\u4ea4\u4e92\uff1b<\/p>\n\n\n\n

3. \u6d3b\u52a8\u8fc7\u7a0b\u4e2d\uff0c\u8bf7\u4e0d\u8981\u8bf4\u65e0\u5173\u8bdd\u8bed\uff0c\u4ee5\u514d\u5f71\u54cd\u6d3b\u52a8\u6b63\u5e38\u8fdb\u884c\uff1b\u6d3b\u52a8\u8fc7\u7a0b\u4e2d\uff0c\u5982\u51fa\u73b0\u542c\u4e0d\u5230\u6216\u770b\u4e0d\u5230\u89c6\u9891\u7b49\u95ee\u9898\uff0c\u5efa\u8bae\u9000\u51fa\u518d\u91cd\u65b0\u8fdb\u5165\uff0c\u4e00\u822c\u90fd\u80fd\u89e3\u51b3\u95ee\u9898\uff1b\u5efa\u8bae\u901a\u8fc7\u901f\u5ea6\u8f83\u5feb\u7684\u7f51\u7edc\u53c2\u52a0\u6d3b\u52a8\uff0c\u4f18\u5148\u91c7\u7528\u6709\u7ebf\u7f51\u7edc\u8fde\u63a5\uff1b<\/p>\n\n\n\n

4. \u540e\u7eed\u6bcf\u671f\u8bb2\u5ea7\u4fe1\u606f\uff0c\u4f1a\u901a\u8fc7MICS\u5fae\u4fe1\u516c\u4f17\u53f7\u201c\u533b\u5b66\u56fe\u50cf\u8ba1\u7b97\u9752\u5e74\u7814\u8ba8\u4f1a\u201d\uff08\u626b\u63cf\u4e0b\u65b9\u4e8c\u7ef4\u7801\u5173\u6ce8MICS\u5fae\u4fe1\u516c\u4f17\u53f7\uff09\u6216MICS QQ\u7fa4\uff08\u7fa4\u53f7\uff1a926316770\uff09\u8fdb\u884c\u901a\u77e5\uff08\u6ce8\uff1a\u7533\u8bf7\u52a0\u5165MICS QQ\u7fa4\u65f6\u9700\u9a8c\u8bc1\u59d3\u540d\u3001\u5355\u4f4d\u548c\u8eab\u4efd\uff0c\u7f3a\u4e00\u4e0d\u53ef\uff1b\u5165\u7fa4\u540e\uff0c\u8bf7\u5b9e\u540d\uff0c\u59d3\u540d\u8eab\u4efd\u5355\u4f4d\uff1b\u8eab\u4efd\uff1a\u5b66\u6821\u53ca\u79d1\u7814\u5355\u4f4d\u4eba\u5458T\uff0c\u4f01\u4e1a\u7814\u53d1I\uff0c\u535a\u58ebD\uff0c\u7855\u58ebM\uff09<\/p>\n\n\n\n

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  1. <\/li>\n<\/ol>\n\n\n
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    \"\"<\/figure>\n<\/div>\n\n\n

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    \u5609\u5bbe \u7aa6\u742a \uff08\u9999\u6e2f\u4e2d\u6587\u5927\u5b66\uff09 \u65f6\u95f4 20…<\/p>\n","protected":false},"author":1,"featured_media":579,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-484","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-6"],"_links":{"self":[{"href":"https:\/\/www.mics-ai.com\/index.php\/wp-json\/wp\/v2\/posts\/484","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.mics-ai.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.mics-ai.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.mics-ai.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.mics-ai.com\/index.php\/wp-json\/wp\/v2\/comments?post=484"}],"version-history":[{"count":0,"href":"https:\/\/www.mics-ai.com\/index.php\/wp-json\/wp\/v2\/posts\/484\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.mics-ai.com\/index.php\/wp-json\/wp\/v2\/media\/579"}],"wp:attachment":[{"href":"https:\/\/www.mics-ai.com\/index.php\/wp-json\/wp\/v2\/media?parent=484"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.mics-ai.com\/index.php\/wp-json\/wp\/v2\/categories?post=484"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.mics-ai.com\/index.php\/wp-json\/wp\/v2\/tags?post=484"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}