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[1]\uff0c\u53d1\u8868\u4e8eMICCAI 2018\u8bba\u6587\u96c6\uff0c\u7b2c\u4e00\u4f5c\u8005\u662fChengliang Dai\u3002\u8fd9\u7bc7\u6587\u7ae0\u63d0\u51fa\u4e86\u65b0\u578b\u7684\u591a\u4efb\u52a1\u5b66\u4e60\u6846\u67b6\u6765\u89e3\u51b3\u5168\u8111\u5206\u5272\u95ee\u9898\u3002\u8be5\u6846\u67b6\u5229\u7528\u5927\u91cf\u81ea\u52a8\u751f\u6210\u7684\u5177\u6709\u90e8\u5206\u6807\u7b7e\u7684\u56fe\u50cf\u548c\u5c11\u91cf\u624b\u5de5\u6807\u6ce8\u7684\u5177\u6709\u5b8c\u6574\u6807\u7b7e\u7684\u56fe\u50cf\u8fdb\u884c\u8bad\u7ec3\uff0c\u8fbe\u5230\u4e86\u4e0e\u76ee\u524d\u5168\u8111\u5206\u5272\u6700\u5148\u8fdb\u65b9\u6cd5\u76f8\u5f53\u7684\u6027\u80fd\u3002\u57282019\u5e74\u7684\u897f\u5b89ISICDM\u4f1a\u8bae\u4e0a\uff0c\u90ed\u6559\u6388\u7684\u5927\u4f1a\u62a5\u544a\u4e5f\u63d0\u53ca\u4e86\u8fd9\u4e2a\u5de5\u4f5c\u3002<br>\u7b2c\u4e8c\u7bc7\u662fRemoving Segmentation Inconsistencies with Semi-Supervised Non-Adjacency Constraint [2]\uff0c\u53d1\u8868\u4e8e2019\u5e74\u7684Medical Image Analysis\u6742\u5fd7\uff0c\u4f5c\u8005\u662f\u6cd5\u56fd\u91cc\u6602\u5927\u5b66\u7684Pierre-Antoine Ganaye\u7b49\u4eba\u3002\u8fd9\u7bc7\u6587\u7ae0\u4e3a\u6df1\u5ea6\u7f51\u7edc\u52a0\u5165\u4e86\u8111\u533a\u4e4b\u95f4\u76f8\u90bb\u5173\u7cfb\u4f5c\u4e3a\u89e3\u5256\u5b66\u5148\u9a8c\u77e5\u8bc6\u7ea6\u675f\uff0c\u6765\u6539\u8fdb\u5206\u5272\u7ed3\u679c\u4e2d\u50cf\u7d20\u6807\u7b7e\u5b64\u7acb\u7834\u788e\u7684\u95ee\u9898\u3002\u56e0\u4e3a\u8fd9\u79cd\u533a\u57df\u76f8\u90bb\u5173\u7cfb\u7684\u7ea6\u675f\u9002\u7528\u4e8e\u672a\u6807\u8bb0\u7684\u6570\u636e\uff0c\u6240\u4ee5\u8be5\u65b9\u6cd5\u9664\u4e86\u53ef\u4ee5\u7528\u4e8e\u5168\u76d1\u7763\u7f51\u7edc\u4e5f\u53ef\u7528\u4e8e\u534a\u76d1\u7763\u7f51\u7edc\u3002\u4e0b\u9762\u6765\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e24\u7bc7\u5de5\u4f5c\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>1.&nbsp;Transfer Learning from Partial Annotations for Whole Brain Segmentation<\/strong>\u4e3a\u4e86\u51cf\u5c11\u4eba\u5de5\u6807\u8bb0\u7684\u8bad\u7ec3\u6570\u636e\u91cf\uff0c\u7b2c\u4e00\u7bc7\u6587\u7ae0\u7684\u6838\u5fc3\u601d\u8def\u662f\u91c7\u7528transfer learning\u7684\u529e\u6cd5\u3002\u4f5c\u8005\u91c7\u7528\u4e24\u6b65\u8d70\u7684\u7b56\u7565\uff08two stages training\uff09\uff1a\u7b2c\u4e00\u6b65\u662f\u5148\u7528\u4f20\u7edf\u7684\u8111\u56fe\u8c31\u914d\u51c6\u7b97\u6cd5\u81ea\u52a8\u751f\u6210\u5927\u91cf\u7684\u542b\u6709\u6807\u7b7e\u7684\u8bad\u7ec3\u6570\u636e\u96c6\uff0c\u5e76\u4ee5\u8fd9\u4e9b\u81ea\u52a8\u751f\u6210\u7684\u6807\u7b7e\u6570\u636e\u8bad\u7ec3\u5f97\u5230first stage network\uff1b\u7b2c\u4e8c\u6b65\uff0c\u4ee5first stage network\u4e3a\u57fa\u7840\u505atransfer learning\uff0c\u7528\u4e3a\u6570\u4e0d\u591a\u7684\u4eba\u5de5\u6807\u8bb0\u6570\u636e\u4e0e\u5148\u524d\u7684\u5927\u91cf\u81ea\u52a8\u6807\u8bb0\u6570\u636e\u4e00\u8d77\u8bad\u7ec3\u66f4\u52a0\u7cbe\u51c6\u7684second stage network\u3002\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u7b2c\u4e00\u6b65\u7684\u6240\u91c7\u7528\u7684\u81ea\u52a8\u751f\u6210\u7684\u8bad\u7ec3\u6570\u636e\u4e2d\u8111\u533a\u6807\u7b7e\u7684\u6570\u91cf\u8fdc\u5c0f\u4e8e\u7b2c\u4e8c\u6b65\u4e2d\u7684\u4eba\u5de5\u6807\u8bb0\u8111\u533a\u6807\u7b7e\u6570\u91cf\uff0c\u800c\u7b2c\u4e8c\u6b65\u91c7\u7528\u4e24\u79cd\u6807\u8bb0\u6570\u636e\u505a\u6df7\u5408\u8bad\u7ec3\u65f6\u91c7\u7528\u7684\u662f\u591a\u4efb\u52a1\u5b66\u4e60\u7684\u65b9\u5f0f\uff08\u6bcf\u79cd\u6570\u636e\u4f5c\u4e3a\u4e00\u4e2a\u4efb\u52a1\uff09\u3002\u4e0b\u9762\u5bf9\u8fd9\u7bc7\u8bba\u6587\u7684\u7b97\u6cd5\u7ec6\u8282\u505a\u4e00\u4e0b\u4ecb\u7ecd\u3002<br>\u8fd9\u7bc7\u5728\u89e3\u51b3\u8111\u90e8MRI\u56fe\u50cf\u5168\u8111\u5206\u5272\u95ee\u9898\u65f6\u63d0\u51fa\u4e86\u4e00\u79cd\u4e24\u9636\u6bb5\u8bad\u7ec3\u7684\u65b9\u5f0f\uff0c\u5305\u62ec\u9884\u8bad\u7ec3\u9636\u6bb5\u548c\u8054\u5408\u8bad\u7ec3\u9636\u6bb5\u3002\u5728\u7b2c\u4e00\u9636\u6bb5\u4e2d\u4f7f\u75284000\u4f8b\u81ea\u52a8\u751f\u6210\u7684\u53ea\u5305\u542b15\u4e2a\u8111\u533a\u6807\u7b7e\u7684MRI\u56fe\u50cf\u8bad\u7ec3\u4e00\u4e2a\u5e38\u89c1\u76843D U-Net\u7f51\u7edc\uff08Encoder+Decoder\u7684\u7ecf\u5178\u7ed3\u6784\uff09\uff0c\u4f7f\u7528\u5206\u7c7b\u4ea4\u53c9\u71b5\u4f5c\u4e3a\u635f\u5931\u51fd\u6570\uff0c\u5982\u56fe1\u4e2dStage 1\u7ea2\u8272\u65b9\u6846\u4e2d\u6240\u793a\u3002\u7531\u4e8e\u7b2c\u4e00\u9636\u6bb5\u7684\u76d1\u7763\u4ec5\u4ec5\u662f\u81ea\u52a8\u751f\u6210\u7684\u56fe\u50cf\uff0c\u6240\u4ee5\u5f97\u5230\u7684\u7f51\u7edc\u53ef\u80fd\u4f1a\u5b58\u5728\u9519\u5206\u7684\u60c5\u51b5\u4e14\u53ea\u5305\u542b\u4e86\u4e3a\u6570\u4e0d\u591a\u768415\u4e2a\u6807\u7b7e\u3002\u5728\u5f97\u5230\u7b2c\u4e00\u9636\u6bb5\u7684\u7f51\u7edc\u540e\u8fdb\u884c\u7b2c\u4e8c\u9636\u6bb5\u7684\u591a\u4efb\u52a1\u5b66\u4e60\uff0c\u6b64\u65f6Encoder\u4ecd\u7136\u4f7f\u7528\u7b2c\u4e00\u9636\u6bb5\u7f51\u7edc\u4e2d\u7684Encoder\uff0c\u4f46\u662fDecoder\u6709\u4e24\u4e2a\uff0c\u6bcf\u4e2aDecoder\u5bf9\u5e94\u4e00\u4e2a\u5b66\u4e60\u4efb\u52a1\u3002\u7b2c\u4e00\u4e2aDecoder\u4ecd\u7136\u91c7\u7528Stage1\u8bad\u7ec3\u5f97\u5230\u7684\u9488\u5bf915\u4e2a\u8111\u533a\u6807\u7b7e\u7684Decoder\uff0c\u5176\u6240\u5bf9\u5e94\u7684\u8bad\u7ec3\u6570\u636e\u4ecd\u662f\u4e4b\u524d\u81ea\u52a8\u751f\u6210\u76844000\u4e2a15\u8111\u533a\u6807\u7b7e\u6570\u636e\uff1b\u7b2c\u4e8c\u4e2aDecoder\u5219\u9488\u5bf9\u542b\u6709\u5927\u91cf\u8111\u533a\u6807\u7b7e\uff08\u51e0\u5341\u4e2a\u751a\u81f3\u4e0a\u767e\u4e2a\uff09\u7684\u624b\u5de5\u6807\u8bb0\u8bad\u7ec3\u6570\u636e\uff0c\u4f46\u662f\u8fd9\u4e9b\u624b\u5de5\u6807\u8bb0\u7684\u8bad\u7ec3\u6570\u636e\u53ea\u6709\u4e8c\u3001\u4e09\u5341\u4f8b\u3002\u5728\u7b2c\u4e8c\u9636\u6bb5\u7684\u8bad\u7ec3\u4e2d\uff0cEncoder\u548c\u4e24\u4e2aDecoder\u90fd\u4f7f\u7528\u9884\u5148\u52a0\u8f7d\u7b2c\u4e00\u9636\u6bb5\u8bad\u7ec3\u597d\u7684\u6743\u91cd\uff0c\u800c\u6240\u4f7f\u7528\u7684\u635f\u5931\u51fd\u6570\u662f\u4e24\u4e2aDecoder\u635f\u5931\u51fd\u6570\u7ed3\u5408\u8d77\u6765\u7684\u52a0\u6743\u635f\u5931\u51fd\u6570\u3002\u8fd9\u79cd\u591a\u4efb\u52a1\u7684\u8bbe\u8ba1\u53ef\u4ee5\u8ba9\u7f51\u7edc\u5b66\u4e60\u5230\u66f4\u591a\u90e8\u5206\u6807\u7b7e\u548c\u5168\u6807\u7b7e\u8bad\u7ec3\u6570\u636e\u4e2d\u5171\u6709\u7684\u7279\u5f81\u3002\u800c\u4e14\u5728\u8fd9\u4e00\u9636\u6bb5\u4e2d\uff0c\u7531\u4e8e\u624b\u52a8\u5206\u5272\u7684\u6807\u7b7e\u8981\u6bd4\u7b2c\u4e00\u9636\u6bb5\u4e2d\u81ea\u52a8\u751f\u6210\u7684\u6807\u7b7e\u7684\u51c6\u786e\u5ea6\u66f4\u9ad8\uff0c\u6240\u4ee5\u7f51\u7edc\u53ef\u4ee5\u4fee\u6b63\u5728\u7b2c\u4e00\u9636\u6bb5\u8bad\u7ec3\u4e2d\u7684\u4e00\u4e9b\u4e0d\u8db3\uff0c\u4ece\u800c\u5f97\u5230\u66f4\u597d\u7684\u90e8\u5206\u5206\u5272\u7ed3\u679c\u3002<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img decoding=\"async\" src=\"http:\/\/106.52.84.14\/wp-content\/uploads\/2025\/04\/image-85-9-12-1-1.png\" alt=\"\" class=\"wp-image-280\"\/><\/figure>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\">\u56fe1.&nbsp;\u7b2c\u4e00\u9636\u6bb5\u548c\u7b2c\u4e8c\u9636\u6bb5\u8bad\u7ec3\u4e2d\u4f7f\u7528\u7684\u7f51\u7edc\u67b6\u6784\u6587\u7ae0\u901a\u8fc7Dice\u6765\u8861\u91cf\u6240\u63d0\u51fa\u7684\u591a\u4efb\u52a1\u7f51\u7edc\uff08MO-Net\uff09\u7684\u6027\u80fd\uff0c\u5e76\u8bad\u7ec3\u4e86\u4e24\u4e2aU-Net\u8fdb\u884c\u6bd4\u8f83\uff0c\u4e00\u4e2a\u662f\u5728MICCAI 2012 Multi-atlas Labelling Challenge (MALC)\u6570\u636e\u96c6\u4e0a\u4ece\u5934\u8bad\u7ec3\u7684(U-Net (FS))\uff0c\u4e00\u4e2a\u662f\u5728Hammers Adult Atlases (HAA)\u6570\u636e\u96c6\u4e0a\u8fdb\u884c\u5fae\u8c03\u7684(U-Net (FT))\u3002\u5728MALC\u6570\u636e\u96c6\u4e0a\u8fd8\u4e0e\u57fa\u4e8efine-tuning 8\u548c27\u76843D U-Nets SLANT8\u548cSLANT27\u8fdb\u884c\u4e86\u6bd4\u8f83\uff0c\u7ed3\u679c\u5982\u4e0b\uff1a<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img decoding=\"async\" src=\"http:\/\/106.52.84.14\/wp-content\/uploads\/2025\/04\/image-85-9-13-1-1.png\" alt=\"\" class=\"wp-image-281\"\/><\/figure>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\">\u53ef\u4ee5\u770b\u5230MO-Net\u660e\u663e\u4f18\u4e8eU-Net (FS)\uff0c\u4e0eU-Net (FT)\u3001SLANT8\u548cSLANT27\u76f8\u6bd4\u4e5f\u7565\u6709\u63d0\u5347\u3002\u56fe2\u662f\u4e09\u79cd\u65b9\u6cd5\u5728HAA\u6570\u636e\u96c6\u4e0a\u5bf9\u5927\u8111\u5de6\u534a\u74038\u4e2a\u7ed3\u6784\u5206\u5272\u7ed3\u679cDice\u7684\u7bb1\u7ebf\u56fe\u3002\u56fe3\u5b9a\u6027\u5730\u5c55\u793a\u4e86\u5206\u5272\u7ed3\u679c\uff0cMO-Net\u5728\u67d0\u4e9b\u7ed3\u6784\u4e2d\u5177\u6709\u66f4\u597d\u7684\u5206\u5272\u7cbe\u5ea6\u3002<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img decoding=\"async\" src=\"http:\/\/106.52.84.14\/wp-content\/uploads\/2025\/04\/image-85-9-14-1-1.png\" alt=\"\" class=\"wp-image-282\"\/><\/figure>\n<\/div>\n\n\n<p class=\"has-text-align-center wp-block-paragraph\">\u56fe2. \u4e09\u79cd\u65b9\u6cd5\u5728HAA\u6570\u636e\u96c6\u4e0a\u5bf9\u5927\u8111\u5de6\u534a\u74038\u4e2a\u7ed3\u6784\u5206\u5272\u7ed3\u679cDice\u7684\u7bb1\u7ebf\u56fe<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img decoding=\"async\" src=\"http:\/\/106.52.84.14\/wp-content\/uploads\/2025\/04\/image-85-9-15-1-1.png\" alt=\"\" class=\"wp-image-283\"\/><\/figure>\n<\/div>\n\n\n<p class=\"has-text-align-center wp-block-paragraph\">\u56fe3. (a) \u91d1\u6807\u51c6.&nbsp;(b) MO-Net. (c) U-Net (FT).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>2.\u00a0Removing Segmentation Inconsistencies with Semi-Supervised Non-Adjacency Constraint<\/strong>\u7b2c\u4e8c\u7bc7\u6587\u7ae0\u5728\u7f51\u7edc\u8bad\u7ec3\u65f6\u5f15\u5165\u4e86\u4e00\u79cd\u57fa\u4e8e\u533a\u57df\u76f8\u90bb\u5173\u7cfb\u7684\u635f\u5931\u51fd\u6570NonAdjLoss\uff0c\u6765\u60e9\u7f5a\u5728\u89e3\u5256\u5b66\u76f8\u90bb\u5173\u7cfb\u4e0a\u4e0d\u6b63\u786e\u7684\u5206\u5272\u6807\u7b7e\u8f93\u51fa\u3002\u8fd9\u7bc7\u6587\u7ae0\u7684\u4e3b\u6253\u521b\u65b0\u70b9\u662f\u91c7\u7528\u8111\u533a\u4e4b\u95f4\u76f8\u90bb\u5173\u7cfb\u4f5c\u4e3a\u56fe\u50cf\u5206\u5272\u7684\u89e3\u5256\u5b66\u5148\u9a8c\u77e5\u8bc6\uff0c\u4ece\u800c\u51cf\u5c11\u5206\u5272\u7ed3\u679c\u4e2d\u9f13\u52b1\u7834\u788e\u7684\u8111\u533a\u6807\u7b7e\u3002\u4f5c\u8005\u5e76\u6ca1\u6709\u4e3b\u8981\u7a81\u51fa\u8fd9\u4e2a\u521b\u65b0\u70b9\u5bf9\u4e8e\u51cf\u5c11\u4eba\u5de5\u6807\u8bb0\u7684\u4f5c\u7528\uff0c\u7136\u800c\u8fd9\u4e2a\u201c\u526f\u4f5c\u7528\u201d\u7684\u6f5c\u529b\u662f\u663e\u800c\u6613\u89c1\u7684\u3002<br>\u5177\u4f53\u7684\u505a\u6cd5\u662f\u901a\u8fc7\u4e00\u4e2a\u76f8\u90bb\u5173\u7cfb\u77e9\u9635\u0391\u8868\u793a\u4e0d\u540c\u8111\u533a\u7684\u76f8\u90bb\u5173\u7cfb\u77e9\u9635\uff0c\u5176\u4e2d\u6bcf\u4e00\u884c\u6216\u6bcf\u4e00\u5217\u4ee3\u8868\u4e00\u4e2a\u8111\u533a\uff0c\u77e9\u9635\u5143\u7d20\u0391<sub>ij<\/sub>\u8868\u793a\u6807\u7b7e\u5206\u522b\u4e3ai\u548cj\u7684\u4e24\u4e2a\u8111\u533a\u76f8\u90bb\u7684\u50cf\u7d20\u603b\u6570\u3002\u7531\u4e8e\u4e0d\u540c\u4e2a\u4f53\u95f4\u53ef\u80fd\u5b58\u5728\u5dee\u5f02\uff0c\u5bf9\u0391\u8fdb\u884c\u4e8c\u503c\u5316\u5f97\u5230\u00c3\uff0c\u5219\u5f53\u8111\u533ai\u548cj\u5728\u8bad\u7ec3\u6570\u636e\u4e2d\u76f8\u90bb\u65f6\uff0c\u00c3<sub>ij<\/sub>=1\uff0c\u5426\u5219\u4e3a0\uff0c\u5982\u56fe4\u6240\u793a\u3002\u76f8\u90bb\u5173\u7cfb\u77e9\u9635\u4ece\u6ce8\u91ca\u6807\u7b7e\u56fe\u4e2d\u5f97\u5230\uff0c\u5e76\u4f5c\u4e3a\u8bad\u7ec3\u65f6\u7684\u91d1\u6807\u51c6\uff0c\u8ba4\u4e3a\u6bcf\u4e00\u4e2a\u6837\u672c\u90fd\u5e94\u8be5\u5177\u6709\u76f8\u540c\u7684\u4e34\u63a5\u89c4\u5219\u3002\u6b64\u65f6\u5b9a\u4e49\u4e00\u4e2a\u5173\u4e8e\u7f51\u7edc\u53c2\u6570W\u7684\u7ea6\u675f\u51fd\u6570G(w)\uff0c\u5f53\u6240\u6709\u6807\u7b7e\u7684\u8fde\u63a5\u5173\u7cfb\u90fd\u6ee1\u8db3\u76f8\u90bb\u5173\u7cfb\u77e9\u9635\u0391\u7684\u7ea6\u675f\u65f6\uff0cG(w)\u503c\u4e3a0\uff0c\u5e76\u968f\u7740\u4e0d\u6ee1\u8db3\u0391\u7ea6\u675f\u7684\u50cf\u7d20\u6570\u589e\u5927\u800c\u589e\u5927\u3002<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img decoding=\"async\" src=\"http:\/\/106.52.84.14\/wp-content\/uploads\/2025\/04\/image-85-9-16-1-1.png\" alt=\"\" class=\"wp-image-284\"\/><\/figure>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\">\u5176\u4e2d\u0399\u8868\u793a\u7070\u5ea6\u503c\u56fe\u50cf\uff0c<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" src=\"http:\/\/106.52.84.14\/wp-content\/uploads\/2025\/04\/image-85-9-19-1-1.png\" alt=\"\" class=\"wp-image-287\"\/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">\u4e3a\u7f51\u7edc\u8f93\u51fa\uff0c<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" src=\"http:\/\/106.52.84.14\/wp-content\/uploads\/2025\/04\/image-85-1-10-10-1-1.png\" alt=\"\" class=\"wp-image-288\"\/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">\u8868\u793a\u6839\u636e\u7f51\u7edc\u8f93\u51fa\u7684\u6982\u7387\u56fe\u6765\u8861\u91cf\u8fde\u63a5\u5173\u7cfb\uff0c<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" src=\"http:\/\/106.52.84.14\/wp-content\/uploads\/2025\/04\/image-85-1-10-11-1-1.png\" alt=\"\" class=\"wp-image-289\"\/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">\u4e2d\u9519\u8bef\u7684\u8fde\u63a5\u5173\u7cfb\u6570\u91cf\u589e\u5927\u65f6\uff0c<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" src=\"http:\/\/106.52.84.14\/wp-content\/uploads\/2025\/04\/image-85-1-10-12-1-1.png\" alt=\"\" class=\"wp-image-290\"\/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">\u968f\u7740\u589e\u5927\u3002\u5728\u8bad\u7ec3\u4e2d\uff0c\u5982\u679c\u7f51\u7edc\u8f93\u51fa\u7684\u7ed3\u679c\u4e0d\u7b26\u5408\u90bb\u63a5\u7ea6\u675f\u6761\u4ef6\uff0c\u5219\u4f7f\u7528NonAdjLoss\u5bf9\u7f51\u7edc\u8fdb\u884c\u60e9\u7f5a\u3002\u5728\u5b9e\u8df5\u4e2d\u9700\u8981\u7528\u6807\u51c6\u635f\u5931\u51fd\u6570\u9884\u8bad\u7ec3\u7f51\u7edc\uff0c\u5728\u6fc0\u6d3bNonAdjLoss\u4e4b\u540e\uff0cNonAdjLoss\u6240\u5360\u7684\u6743\u91cd\u4e5f\u662f\u968f\u7740\u8fed\u4ee3\u8fc7\u7a0b\u9010\u6b65\u589e\u5927\u7684\u3002\u521d\u59cb\u65f6\uff0c\u03bb=0.3,\u8fc7\u9ad8\u7684\u03bb\uff08\u59820.8\uff09\u4f1a\u5bfc\u81f4\u6807\u7b7e\u7684\u5c40\u90e8\u7ffb\u8f6c\uff0c\u867d\u7136\u6709\u6548\u51cf\u5c11\u4e86\u9519\u8bef\u8fde\u63a5\uff0c\u4f46\u5bf9\u5206\u5272\u7ed3\u679c\u8d28\u91cf\u6709\u4e0d\u5229\u7684\u5f71\u54cd\u3002\u5728\u5f53\u5206\u5272\u8fc7\u7a0b\u4e2d\uff0c\u5982\u679c\u9a8c\u8bc1\u96c6Dice\u8f83\u7a33\u5b9a\u6216\u9010\u6e10\u4e0a\u5347\u5219\u9010\u6b65\u52a0\u5927\u6743\u91cd\u03bb\uff0c\u5982\u679c\u51fa\u73b0\u9a8c\u8bc1\u96c6Dice\u4e0b\u964d\uff0c\u9700\u8981\u4ece\u65b0\u5c06\u03bb\u8bbe\u5b9a\u4e3a\u8f83\u5c0f\u7684\u503c\uff0c\u5e76\u51cf\u5c0f\u03bb\u589e\u52a0\u7684\u6b65\u957f\u3002\u5728\u5f97\u5230\u90bb\u63a5\u77e9\u9635\u0391\u540e\uff0c\u4e5f\u53ef\u4ee5\u5c06\u5176\u5e94\u7528\u5728\u672a\u6807\u6ce8\u7684\u56fe\u50cf\u4e0a\u4ece\u800c\u5b9e\u73b0\u534a\u76d1\u7763\u7684\u8bad\u7ec3\u3002\u5982\u56fe5\u6240\u793a\uff0c\u5728\u8fdb\u884c\u534a\u76d1\u7763\u8bad\u7ec3\u65f6\uff0c\u5bf9\u6709\u6807\u7b7e\u548c\u65e0\u6807\u7b7e\u7684\u8bad\u7ec3\u6570\u636e\u91c7\u7528\u4e0d\u540c\u7684Loss\u51fd\u6570\u3002\u5f53\u8bad\u7ec3\u56fe\u50cf\u5177\u6709\u6807\u7b7e\u65f6\u53ef\u4ee5\u540c\u65f6\u4f7f\u7528Segmentation Loss\uff08Dice + Cross-entropy loss\uff09\u548cNon-Adjacency Loss\u76f8\u7ed3\u5408\u7684\u65b9\u5f0f\uff0c\u5bf9\u4e8e\u6ca1\u6709\u6807\u7b7e\u7684\u8bad\u7ec3\u6570\u636e\u53ea\u4f7f\u7528Non-Adjacency Loss\u3002\u6b64\u65f6\uff0c\u5bf9\u4e8e\u65e0\u6807\u7b7e\u6570\u636e\uff0cNonAdjLoss\u4ecd\u53ef\u4ee5\u901a\u8fc7\u89e3\u5256\u5b66\u5148\u9a8c\u77e5\u8bc6\u63d0\u5347\u6807\u7b7e\u5728\u5c0f\u533a\u57df\u5185\u7684\u4e00\u81f4\u5ea6\uff0c\u51cf\u5c11\u6807\u7b7e\u5b64\u7acb\u7834\u788e\u7684\u60c5\u51b5\u3002<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img decoding=\"async\" src=\"http:\/\/106.52.84.14\/wp-content\/uploads\/2025\/04\/image-85-1-10-13-1-1.png\" alt=\"\" class=\"wp-image-291\"\/><\/figure>\n<\/div>\n\n\n<p class=\"has-text-align-center wp-block-paragraph\">\u56fe4. \u4e0d\u540c\u8111\u533a\u4e4b\u95f4\u7684\u76f8\u90bb\u5173\u7cfb\u77e9\u9635<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img decoding=\"async\" src=\"http:\/\/106.52.84.14\/wp-content\/uploads\/2025\/04\/image-85-1-10-14-1-1.png\" alt=\"\" class=\"wp-image-292\"\/><\/figure>\n<\/div>\n\n\n<p class=\"has-text-align-center wp-block-paragraph\">\u56fe5. \u534a\u76d1\u7763\u8bad\u7ec3\u65b9\u6848\u793a\u610f\u56fe<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u4e0b\u9762\u7684\u4e24\u4e2a\u8868\u4e2d\u7ed9\u51fa\u4e86NonAdjLoss\u65b9\u6cd5\u7684\u7ed3\u679c\uff0c\u5176\u4e2dBaseline\u8868\u793a\u672a\u4f7f\u7528NonAdjLoss\u8fdb\u884c\u8bad\u7ec3\u7684\u6a21\u578b\uff08Dice and cross-entropy losses\uff09\uff1bNonAdjLoss\uff08n\uff09\u8868\u793a\u4f7f\u7528NonAdjLoss\u8bad\u7ec3\u7684\u6a21\u578b\uff0c\u5e76\u4f7f\u7528\u4e86n\u4f8b\u672a\u6807\u6ce8\u7684\u6570\u636e\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" src=\"http:\/\/106.52.84.14\/wp-content\/uploads\/2025\/04\/image-85-5-15-1-1.jpg\" alt=\"\" class=\"wp-image-293\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" src=\"http:\/\/106.52.84.14\/wp-content\/uploads\/2025\/04\/image-85-1-10-15-1-1.png\" alt=\"\" class=\"wp-image-294\"\/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">\u53ef\u4ee5\u770b\u5230\u5728\u4e09\u4e2a\u6570\u636e\u96c6\u4e2d\uff08MICCAI12\uff0cIB-SRv2\uff0cAnatomy3\uff09\uff0c Hausdorff Distance\u5747\u6709\u660e\u663e\u7684\u6539\u5584\u3002\u800c\u4e24\u4e2a\u975e\u4e34\u63a5\u6570\u91cf\u7684\u8861\u91cf\u6307\u6807<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" src=\"http:\/\/106.52.84.14\/wp-content\/uploads\/2025\/04\/image-85-1-10-16-1-1.png\" alt=\"\" class=\"wp-image-295\"\/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">\u548c<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" src=\"http:\/\/106.52.84.14\/wp-content\/uploads\/2025\/04\/image-85-1-10-17-1-1.png\" alt=\"\" class=\"wp-image-296\"\/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">\u4e5f\u6709\u660e\u663e\u7684\u4e0b\u964d\u3002\u5728\u56fe6\u4e2d\u53ef\u4ee5\u770b\u5230baseline\u4e2d\u5f88\u591a\u9519\u8bef\u5206\u5272\u88ab\u6210\u529f\u6291\u5236\u3002<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img decoding=\"async\" src=\"http:\/\/106.52.84.14\/wp-content\/uploads\/2025\/04\/image-85-5-16-1-1.jpg\" alt=\"\" class=\"wp-image-297\"\/><\/figure>\n<\/div>\n\n\n<p class=\"has-text-align-center wp-block-paragraph\">\u56fe6 \u5de6\uff1aground truth\uff1b\u4e2d\uff1a\u53ea\u4f7f\u7528\u7ecf\u5178loss\u7684\u5206\u5272\u6807\u7b7e\uff1b\u53f3\uff1a\u4f7f\u7528NonAdjLoss\u548c\u534a\u76d1\u7763\u8bad\u7ec3<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>3.&nbsp;\u5bf9\u4e24\u7bc7\u8bba\u6587\u7684\u603b\u7ed3<\/strong>\u968f\u7740\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\u5728\u5404\u4e2a\u9886\u57df\u7684\u5e94\u7528\u9010\u6b65\u6df1\u5165\uff0c\u4eba\u4eec\u5df2\u4ece\u6700\u521d\u7684\u70ed\u6367\u9010\u6b65\u8f6c\u5230\u51b7\u9759\u7684\u601d\u8003\u3002\u4eba\u4eec\u53d1\u73b0\uff0c\u76ee\u524d\u7684\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u5728\u5b66\u4e60\u80fd\u529b\u65b9\u9762\u5e76\u4e0d\u90a3\u4e48\u201c\u667a\u80fd\u201d\uff0c\u9700\u8981\u5927\u91cf\u542b\u6709\u6807\u7b7e\u7684\u6570\u636e\u6765\u201c\u5582\u201d\u7f51\u7edc\uff0c\u800c\u4e14\u8bad\u7ec3\u6570\u636e\u8981\u5c3d\u91cf\u6db5\u76d6\u5404\u79cd\u5b9e\u9645\u5e94\u7528\u4e2d\u5404\u79cd\u53ef\u80fd\u51fa\u73b0\u7684\u60c5\u51b5\u3002\u7b80\u8a00\u4e4b\uff0c\u73b0\u9636\u6bb5\u7684\u795e\u7ecf\u7f51\u7edc\u4e0d\u592a\u4f1a\u4ece\u5c11\u91cf\u7684\u8bad\u7ec3\u6570\u636e\u4e2d\u5b66\u5230\u5185\u5728\u7684\u89c4\u5219\uff0c\u96be\u4ee5\u5e94\u4ed8\u5b9e\u9645\u5e94\u7528\u4e2d\u7eb7\u7e41\u590d\u6742\u7684\u60c5\u51b5\u3002\u65e2\u7136\u795e\u7ecf\u7f51\u7edc\u81ea\u5df1\u4e0d\u4f1a\u603b\u7ed3\u89c4\u5219\uff0c\u90a3\u4e48\u5c31\u8ba9\u4eba\u7c7b\u6765\u6559\u5b83\u5427\u3002\u5173\u4e8e\u5982\u4f55\u628a\u4eba\u7c7b\u7684\u77e5\u8bc6\u4f20\u6388\u7ed9\u795e\u7ecf\u7f51\u7edc\uff0c\u8fd9\u4e24\u7bc7\u6587\u7ae0\u91c7\u7528\u4e86\u4e0d\u540c\u7684\u7b56\u7565\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u7b2c\u4e00\u7bc7\u6587\u7ae0\u91c7\u7528\u7684\u662f\u7ea0\u9519\u7b56\u7565\uff0c\u5148\u8ba9\u795e\u7ecf\u7f51\u7edc\u81ea\u5df1\u4ece\u4e00\u4e9b\u5305\u542b\u5c11\u91cf\u9519\u8bef\u6807\u7b7e\u4f46\u662f\u5bb9\u6613\u5f97\u5230\uff08\u81ea\u52a8\u56fe\u8c31\u914d\u51c6\uff09\u7684\u5927\u91cf\u8bad\u7ec3\u6570\u636e\u4e2d\u5b66\u4e60\u4e00\u8f6e\uff0c\u7136\u540e\u901a\u8fc7transfer learning\u7684\u529e\u6cd5\u628a\u4eba\u7c7b\u7684\u6b63\u786e\u6807\u7b7e\u7528\u4e8e\u7b2c\u4e8c\u8f6e\u7ea0\u9519\u8bad\u7ec3\u3002\u8fd9\u7bc7\u6587\u7ae0\u5de7\u5999\u5730\u5229\u7528\u4e86\u7ea0\u9519\u8bad\u7ec3\u53ea\u9700\u8981\u5c11\u91cf\u6807\u7b7e\u6570\u636e\u7684\u4f18\u70b9\uff0c\u6210\u529f\u51cf\u5c11\u4e86\u4eba\u7c7b\u6807\u8bb0\u7684\u5de5\u4f5c\u91cf\u3002\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0c\u4eba\u7c7b\u6807\u7b7e\u4e2d\u7684\u8111\u533a\u6570\u91cf\u662f\u591a\u4e8e\u81ea\u52a8\u6807\u7b7e\u4e2d\u7684\u8111\u533a\u6570\u91cf\u7684\uff0c\u4e3a\u4f55\u8981\u8fd9\u6837\uff1f\u4f5c\u8005\u5728\u539f\u6587\u4e2d\u5e76\u6ca1\u6709\u5c55\u5f00\u8ba8\u8bba\uff0c\u7b14\u8005\u81c6\u6d4b\u624b\u5de5\u6807\u8bb0\u8111\u533a\u7684\u6570\u91cf\u81f3\u5c11\u4e0d\u80fd\u5c11\u4e8e\u81ea\u52a8\u6807\u8bb0\u8111\u533a\u7684\u6570\u91cf\uff0c\u5426\u5219\u5c06\u65e0\u6cd5\u5bf9\u6ca1\u6709\u624b\u5de5\u6807\u8bb0\u7684\u8111\u533a\u8fdb\u884c\u7ea0\u9519\u3002\u8fd9\u79cd\u81c6\u6d4b\u662f\u5426\u5408\u7406\uff0c\u5e94\u8be5\u901a\u8fc7\u540e\u7eed\u7684\u5b9e\u9a8c\u6765\u9a8c\u8bc1\u3002\u53e6\u5916\uff0c\u672c\u6587\u7684\u4e00\u4e2a\u4eae\u773c\u662f\u7b2c\u4e8c\u9636\u6bb5\u7684\u591a\u4efb\u52a1\u5b66\u4e60\uff0c\u4f5c\u8005\u5728\u8ba8\u8bba\u90e8\u5206\u89e3\u91ca\u4e3a\u201cIn general, multi-task learning helps the model to improve the generalization and in our case, to learn features shared by partial segmentation and full segmentation, which can possibly make our encoder more robust. Such claim would need more experiments to prove in the future\u201d\u3002\u591a\u4efb\u52a1\u5b66\u4e60\u53ef\u4ee5\u589e\u5f3a\u7f51\u7edc\u5bf9\u4e8e\u590d\u6742\u60c5\u51b5\u7684\u6cdb\u5316\u6027\uff0c\u5c31\u50cf\u4e00\u4e2a\u4eba\u9762\u5bf9\u7684\u4efb\u52a1\u8d8a\u591a\uff0c\u4ed6\u8003\u8651\u95ee\u9898\u4e5f\u4f1a\u8d8a\u5468\u5168\u3002<br>\u7b2c\u4e8c\u7bc7\u6587\u7ae0\u91c7\u7528\u7684\u7b56\u7565\u662f\u76f4\u63a5\u5c06domain knowledge\u8bbe\u8ba1\u6210loss function\u7528\u4e8e\u7f51\u7edc\u7684\u8bad\u7ec3\u3002\u8fd9\u4e2a\u521b\u65b0\u70b9\u4e3a\u6211\u4eec\u5f00\u542f\u4e86\u4e00\u6247\u7528\u5148\u9a8c\u89c4\u5219\u6765\u51cf\u5c11\u4eba\u5de5\u6807\u8bb0\u7684\u65b0\u65b9\u6cd5\u4e4b\u95e8\uff0c\u8ba9\u6211\u4eec\u8ba4\u8bc6\u5230\u539f\u6765\u4ec5\u51ed\u67d0\u79cd\u5148\u9a8c\u89c4\u5219\u5c31\u53ef\u4ee5\u8bbe\u8ba1Loss\u51fd\u6570\u5e76\u7528\u4e8e\u65e0\u6807\u7b7e\u6570\u636e\u7684\u8bad\u7ec3\u3002\u7b14\u8005\u60ca\u53f9\u4e8e\u8bad\u7ec3\u6570\u636e\u4e2d\u7684\u4e00\u5927\u90e8\u5206\u5e76\u6ca1\u6709\u6807\u7b7e\uff0c\u9488\u5bf9\u8fd9\u90e8\u5206\u65e0\u6807\u7b7e\u6570\u636e\u7adf\u7136\u4ec5\u51ed\u4e00\u4e2a\u57fa\u4e8e\u89c4\u5219\u7684loss function\u5c31\u80fd\u8bad\u7ec3\u5176\u4ea7\u751f\u6b63\u786e\u5206\u5272\u7ed3\u679c\uff08\u5f53\u7136\u5fc5\u987b\u8fd8\u6709\u4e00\u90e8\u5206\u6709\u6807\u7b7e\u7684\u8bad\u7ec3\u6570\u636e\u5b58\u5728\uff09\u3002\u8fd9\u6247\u95e8\u4e00\u65e6\u5f00\u542f\uff0c\u4eca\u540e\u57fa\u4e8e\u5404\u79cd\u5148\u9a8c\u89c4\u5219\u7684\u7c7b\u4f3c\u65b9\u6cd5\u53ef\u4ee5\u5c42\u51fa\u4e0d\u7a77\uff0c\u8c8c\u4f3c\u533b\u5b66\u56fe\u50cf\u5206\u5272\u7684\u6807\u7b7e\u56f0\u96be\u6709\u671b\u6781\u5927\u7f13\u89e3\uff0c\u5e72\u4f53\u529b\u6d3b\u7684\u7ae5\u978b\u4eec\u662f\u4e0d\u662f\u53ef\u4ee5\u5598\u53e3\u6c14\u4e86\uff1f\u6570\u636e\u6807\u8bb0\u516c\u53f8\u4eec\u600e\u4e48\u60f3\uff1f\u4ee5\u4e0a\u5c31\u662f\u672c\u6b21\u4e0e\u5927\u5bb6\u5206\u4eab\u7684\u4e24\u7bc7\u5173\u4e8e\u5c0f\u6570\u636e\u91cf\u5f31\u76d1\u7763\u6df1\u5ea6\u5b66\u4e60\u56fe\u50cf\u5206\u5272\u7684\u6587\u7ae0\uff0c\u7b14\u8005\u6c34\u5e73\u6709\u9650\uff0c\u6587\u4e2d\u4e0d\u5f53\u4e4b\u5904\u8fd8\u671b\u6307\u6b63\uff0c\u518d\u4f1a\uff01<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u53c2\u8003\u6587\u732e<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">[1] C. Dai, Y. Mo, E. Angelini, Y. Guo, and W. Bai, \u201cTransfer Learning from Partial Annotations for Whole Brain Segmentation,\u201d 2019.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">[2] P. Ganaye, M. Sdika, B. Triggs, and H. Benoit-cattin, \u201cRemoving segmentation inconsistencies with semi-supervised non-adjacency constraint,\u201d Med. Image Anal., vol. 58, p. 101551, 2019.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\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\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\u30012019\uff08\u82cf\u5dde\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\u30022020\u5e74\u7684MICS\u4f1a\u8bae\u5c06\u4e8e7\u670818~19\u65e5\u5728\u5927\u8fde\u4e3e\u529e\uff0c\u6b22\u8fce\u5168\u7403\u540c\u9053\u4e13\u5bb6\u548c\u540c\u5b66\u5171\u805a\u5b66\u672f\u76db\u5bb4\uff01<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img decoding=\"async\" src=\"http:\/\/106.52.84.14\/wp-content\/uploads\/2025\/04\/image-85-1-10-18-1-1.png\" alt=\"\" class=\"wp-image-298\"\/><\/figure>\n<\/div>\n\n\n<p class=\"has-text-align-center wp-block-paragraph\">\u201c\u533b\u5b66\u56fe\u50cf\u8ba1\u7b97\u9752\u5e74\u7814\u8ba8\u4f1a\u201d\u5fae\u4fe1\u516c\u4f17\u53f7<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u8fd1\u5e74\u6765\uff0c\u6df1\u5ea6\u5b66\u4e60\u7b97\u6cd5\u5728\u533b\u5b66\u56fe\u50cf\u5206\u5272\u9886\u57df\u53d6&hellip;<\/p>\n","protected":false},"author":1,"featured_media":283,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[],"class_list":["post-279","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-7"],"_links":{"self":[{"href":"https:\/\/www.mics-ai.com\/index.php\/wp-json\/wp\/v2\/posts\/279","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=279"}],"version-history":[{"count":0,"href":"https:\/\/www.mics-ai.com\/index.php\/wp-json\/wp\/v2\/posts\/279\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.mics-ai.com\/index.php\/wp-json\/wp\/v2\/media\/283"}],"wp:attachment":[{"href":"https:\/\/www.mics-ai.com\/index.php\/wp-json\/wp\/v2\/media?parent=279"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.mics-ai.com\/index.php\/wp-json\/wp\/v2\/categories?post=279"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.mics-ai.com\/index.php\/wp-json\/wp\/v2\/tags?post=279"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}