{"id":115,"date":"2025-04-02T22:35:43","date_gmt":"2025-04-02T14:35:43","guid":{"rendered":"http:\/\/106.52.84.14\/?p=115"},"modified":"2025-04-02T22:35:43","modified_gmt":"2025-04-02T14:35:43","slug":"19-05-mics%e5%9c%a8%e7%ba%bf%e5%ad%a6%e6%9c%af%e8%ae%b2%e5%ba%a7%ef%bc%9a%e8%ae%b8%e7%87%95","status":"publish","type":"post","link":"https:\/\/www.mics-ai.com\/index.php\/2025\/04\/02\/19-05-mics%e5%9c%a8%e7%ba%bf%e5%ad%a6%e6%9c%af%e8%ae%b2%e5%ba%a7%ef%bc%9a%e8%ae%b8%e7%87%95\/","title":{"rendered":"[#19-05] MICS\u5728\u7ebf\u5b66\u672f\u8bb2\u5ea7\uff1a\u8bb8\u71d5"},"content":{"rendered":"\n
\u5609\u5bbe<\/strong><\/td>\u8bb8\u71d5\uff08\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66\uff09<\/td><\/tr>
\u65f6\u95f4<\/strong><\/td>2019\u5e7404\u670809\u65e5\uff08\u661f\u671f\u4e8c\uff09\u4e0b\u534820:00\uff08\u5317\u4eac\u65f6\u95f4\uff09<\/td><\/tr>
\u9898\u76ee<\/strong><\/td>\u5f31\u76d1\u7763\u5b66\u4e60\u548c\u65e0\u76d1\u7763\u5b66\u4e60\u5728\u533b\u5b66\u56fe\u50cf\u4e2d\u7684\u63a2\u7d22<\/td><\/tr>
\u4e3b\u6301<\/strong><\/td>\u4f55\u5b8f\u5efa\uff08\u6d59\u6c5f\u5927\u5b66\uff09<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

\u62a5\u544a\u6458\u8981<\/strong>
\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u9700\u8981\u6807\u6ce8\u5927\u91cf\u7684\u6570\u636e\uff0c\u80fd\u591f\u6807\u6ce8\u533b\u5b66\u56fe\u50cf\u6570\u636e\u7684\u4e13\u5bb6\u53c8\u975e\u5e38\u7a00\u7f3a\uff0c\u6807\u6ce8\u6210\u672c\u5f88\u9ad8\u3002\u5f31\u76d1\u7763\u5b66\u4e60\u7531\u4e8e\u4e0d\u9700\u8981\u7ec6\u7c92\u5ea6\u6807\u6ce8\uff0c\u6781\u5927\u964d\u4f4e\u4e86\u533b\u5b66\u56fe\u50cf\u7684\u6807\u6ce8\u6210\u672c\uff0c\u9488\u5bf9\u6bcf\u4e2a\u75c5\u4eba\uff0c\u533b\u751f\u6807\u6ce8\u65f6\u95f4\u4ece\u4f20\u7edf\u7b97\u6cd5\u6240\u9700\u8981\u7684\u82e5\u5e72\u5c0f\u65f6\u964d\u4f4e\u5230\u79d2\u8fd9\u4e2a\u6570\u91cf\u7ea7\u3002\u65e0\u76d1\u7763\u5b66\u4e60\uff0c\u53ef\u4ee5\u4e0d\u501f\u52a9\u4efb\u4f55\u6807\u6ce8\u6570\u636e\u76f4\u63a5\u4ece\u6837\u672c\u4e2d\u5b66\u4e60\u5927\u91cf\u6709\u6548\u7684\u89c4\u5f8b\uff0c\u4e5f\u6210\u4e3a\u8fd1\u5e74\u533b\u7597\u56fe\u50cf\u7684\u70ed\u70b9\u95ee\u9898\u3002\u5f31\u76d1\u7763\u5b66\u4e60\u548c\u65e0\u76d1\u7763\u5b66\u4e60\uff0c\u80fd\u5927\u5927\u514b\u670d\u4eba\u5de5\u667a\u80fd\u7b97\u6cd5\u9700\u8981\u5927\u91cf\u533b\u751f\u9ad8\u6210\u672c\u6807\u6ce8\u7684\u7f3a\u9677\u3002\u62a5\u544a\u56f4\u7ed5\u7740\u4e0a\u8ff0\u5185\u5bb9\uff0c\u63a2\u8ba8\u5728\u533b\u5b66\u56fe\u50cf\u4e2d\u7684\u5e94\u7528\uff0c\u63d0\u9ad8\u73b0\u6709\u533b\u7597\u6570\u636e\u7684\u4e34\u5e8a\u5e94\u7528\u4ef7\u503c\u3002<\/p>\n\n\n\n

    \n
  1. Bo Hu, Ye Tang, Eric I-Chao Chang, Yubo Fan, Maode Lai, Yan Xu. Unsupervised learning for cell-level visual representation in histopathology images with generative adversarial networks. IEEE Journal of Biomedical and Health Informatics 2018.<\/li>\n\n\n\n
  2. Zhipeng Jia, Xingyi Huang, Eric I-Chao Chang and Yan Xu. Constrained deep weak supervision for histopathology image segmentation. IEEE Transactions on Medical Imaging. 2017, 36(11): 2376-2388.<\/li>\n\n\n\n
  3. Yan Xu, Jun-Yan Zhu, Eric I-Chao Chang, Maode Lai, Zhuowen Tu. Weakly supervised histopathology cancer image segmentation and classification. Medical Image Analysis, 2014, 1(15): 591-604.
    <\/li>\n<\/ol>\n\n\n\n

    \u5609\u5bbe\u7b80\u4ecb<\/strong>
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    \u7279\u522b\u9e23\u8c22\u672c\u6b21Webinar\u4e3b\u8981\u7ec4\u7ec7\u8005\uff1a
    MICS Webinar\u8d23\u4efb\u59d4\u5458\uff1a\u4f55\u5b8f\u5efa\uff08\u6d59\u6c5f\u5927\u5b66\uff09<\/strong><\/p>\n\n\n\n

    \n\n\n\n

    \u6d3b\u52a8\u987b\u77e5<\/strong><\/p>\n\n\n\n

    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\/298116\uff08\u6ce8\uff1a\u8be5\u94fe\u63a5\u4e3a04\u670809\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

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

    \u624b\u673a\u5ba2\u6237\u7aef\u53ef\u76f4\u63a5\u626b\u63cf\u4e8c\u7ef4\u7801\u8fdb\u516504\u670809\u65e5\u76f4\u64ad<\/p>\n\n\n\n

    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;\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<\/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\uff1a641894878\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\u3002<\/p>\n\n\n

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

    \u201c\u533b\u5b66\u56fe\u50cf\u8ba1\u7b97\u9752\u5e74\u7814\u8ba8\u4f1a\u201d\u5fae\u4fe1\u516c\u4f17\u53f7<\/p>\n\n\n\n

    MICS\u5728\u7ebf\u5b66\u672f\u8bb2\u5ea7\u7684\u6a21\u5f0f\u548c\u7ec4\u7ec7\u65b9\u5f0f\u501f\u9274\u4e86\u5f88\u591aVALSE\u7684\u7ecf\u9a8c\uff0c\u4eceVALSE\u5f97\u5230\u4e86\u5f88\u591a\u7684\u542f\u53d1\uff0c\u5728\u6b64\u5bf9VALSE\u7ec4\u59d4\u4f1a\u8868\u793a\u8877\u5fc3\u7684\u611f\u8c22\uff0c\u4e5f\u795d\u613fMICS\u548cVALSE\u8d8a\u529e\u8d8a\u597d\uff01<\/p>\n\n\n\n

    \n\n\n\n

    MICS\u5728\u7ebf\u5b66\u672f\u8bb2\u5ea7\u5408\u96c6<\/strong><\/p>\n\n\n\n

    [#18-01] \u6c88\u5b9a\u521a-\u5317\u5361\u7f57\u6765\u7eb3\u5927\u5b66\u6559\u5802\u5c71\u5206\u6821<\/a><\/p>\n\n\n\n

    [#19-01] \u5f20\u9053\u5f3a-\u5357\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66<\/a><\/p>\n\n\n\n

    [#19-02] \u9648\u65b0\u5efa-\u82cf\u5dde\u5927\u5b66<\/a><\/p>\n\n\n\n

    [#19-03] \u5b59\u5251-\u897f\u5b89\u4ea4\u901a\u5927\u5b66<\/a><\/p>\n\n\n\n

    [#19-04] \u5f90\u519b-\u5357\u4eac\u4fe1\u606f\u5de5\u7a0b\u5927\u5b66<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

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