{"id":4826,"date":"2024-10-11T10:08:50","date_gmt":"2024-10-11T02:08:50","guid":{"rendered":"https:\/\/nullthought.net\/?p=4826"},"modified":"2025-03-20T14:05:33","modified_gmt":"2025-03-20T06:05:33","slug":"medimageinsight%ef%bc%9a%e9%80%9a%e7%94%a8%e9%a2%86%e5%9f%9f%e5%8c%bb%e5%ad%a6%e5%bd%b1%e5%83%8f%e7%9a%84%e5%bc%80%e6%ba%90%e5%b5%8c%e5%85%a5%e6%a8%a1%e5%9e%8b","status":"publish","type":"post","link":"https:\/\/nullthought.net\/?p=4826","title":{"rendered":"MedImageInsight\uff1a\u901a\u7528\u9886\u57df\u533b\u5b66\u5f71\u50cf\u7684\u5f00\u6e90\u5d4c\u5165\u6a21\u578b"},"content":{"rendered":"\n<p>\u8bba\u6587<strong><a href=\"https:\/\/arxiv.org\/abs\/2410.06542\" target=\"_blank\" rel=\"noreferrer noopener\">MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging<\/a><\/strong>\uff08\u300aMedImageInsight: \u901a\u7528\u9886\u57df\u533b\u5b66\u5f71\u50cf\u7684\u5f00\u6e90\u5d4c\u5165\u6a21\u578b\u300b\uff09\u4ecb\u7ecd\u4e86\u4e00\u4e2a\u65b0\u7684\u5f00\u6e90\u533b\u5b66\u5f71\u50cf\u5d4c\u5165\u6a21\u578b\u2014\u2014MedImageInsight\u3002\u6b64\u6a21\u578b\u7531\u5fae\u8f6f\u5065\u5eb7\u4e0e\u751f\u547d\u79d1\u5b66\u56e2\u961f\u5f00\u53d1\uff0c\u65e8\u5728\u89e3\u51b3\u533b\u5b66\u5f71\u50cf\u9886\u57df\u5185\u6570\u636e\u91cf\u8fc5\u901f\u589e\u957f\u4e0e\u4e13\u4e1a\u52b3\u52a8\u529b\u76f8\u5bf9\u7f13\u6162\u589e\u52a0\u4e4b\u95f4\u7684\u77db\u76fe\u3002MedImageInsight\u6a21\u578b\u5728\u591a\u4e2a\u533b\u5b66\u5f71\u50cf\u9886\u57df\u4e2d\u8fdb\u884c\u4e86\u8bad\u7ec3\u548c\u8bc4\u4f30\uff0c\u5305\u62ecX\u5149\u7247\u3001CT\u3001MRI\u3001\u76ae\u80a4\u955c\u3001\u5149\u5b66\u76f8\u5e72\u65ad\u5c42\u626b\u63cf\uff08OCT\uff09\u3001\u89c6\u7f51\u819c\u6444\u5f71\u3001\u8d85\u58f0\u3001\u75c5\u7406\u5b66\u4ee5\u53ca\u4e73\u817aX\u5149\u7247\u7b49\u3002\u8bba\u6587\u8be6\u7ec6\u63cf\u8ff0\u4e86\u6a21\u578b\u7684\u67b6\u6784\u3001\u8bad\u7ec3\u8fc7\u7a0b\u4ee5\u53ca\u5728\u5404\u79cd\u533b\u5b66\u5f71\u50cf\u4efb\u52a1\u4e2d\u7684\u8868\u73b0\u3002<\/p>\n\n\n\n<p>\u8bba\u6587\u4f5c\u8005\u4e3aNoel C. F. Codella, Ying Jin, Shrey Jain, Yu Gu, Ho Hin Lee, Asma Ben Abacha, Alberto Santamaria-Pang, Will Guyman, Naiteek Sangani, Sheng Zhang, Hoifung Poon, Stephanie Hyland, Shruthi Bannur, Javier Alvarez-Valle, Xue Li, John Garrett, Alan McMillan, Gaurav Rajguru, Madhu Maddi, Nilesh Vijayrania, Rehaan Bhimai, Nick Mecklenburg, Rupal Jain, Daniel Holstein, Naveen Gaur, Vijay Aski, Jenq-Neng Hwang, Thomas Lin, Ivan Tarapov, Matthew Lungren\u548cMu Wei\uff0c\u6765\u81ea\u5fae\u8f6f\uff0cUniversity of Wisconsin-Madison\u548cUniversity of Washington\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"577\" height=\"830\" src=\"https:\/\/nullthought.net\/wp-content\/uploads\/2024\/10\/image-4.png\" alt=\"\" class=\"wp-image-4827\" srcset=\"https:\/\/nullthought.net\/wp-content\/uploads\/2024\/10\/image-4.png 577w, https:\/\/nullthought.net\/wp-content\/uploads\/2024\/10\/image-4-209x300.png 209w\" sizes=\"auto, (max-width: 577px) 100vw, 577px\" \/><figcaption class=\"wp-element-caption\"><strong><a href=\"https:\/\/arxiv.org\/abs\/2410.06542\" target=\"_blank\" rel=\"noreferrer noopener\">MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging<\/a><\/strong><\/figcaption><\/figure>\n\n\n\n<p>\u4ee5\u4e0b\u662f\u8bba\u6587\u7684\u5185\u5bb9\u6982\u8981\u8bf4\u660e\uff1a<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">1. \u7814\u7a76\u80cc\u666f\u4e0e\u52a8\u673a<\/h4>\n\n\n\n<p>\u8bba\u6587\u9996\u5148\u4ecb\u7ecd\u4e86\u5168\u7403\u533b\u5b66\u5f71\u50cf\u9886\u57df\u7684\u6311\u6218\uff0c\u7279\u522b\u662f\u6570\u636e\u91cf\u7684\u5feb\u901f\u589e\u957f\u548c\u4e13\u4e1a\u4eba\u5458\u6570\u91cf\u589e\u957f\u7684\u5931\u8861\u3002\u968f\u7740\u6bcf\u5e74\u533b\u5b66\u5f71\u50cf\u6570\u636e\u91cf\u4ee56%\u7684\u901f\u5ea6\u589e\u957f\uff0c\u800c\u4e13\u4e1a\u4ece\u4e1a\u4eba\u5458\u6570\u91cf\u4ec5\u4ee50.7%\u7684\u901f\u5ea6\u589e\u957f\uff0c\u5bfc\u81f4\u4e34\u5e8a\u8bca\u65ad\u5de5\u4f5c\u8d1f\u62c5\u589e\u52a0\u3002\u901a\u8fc7\u5c06AI\u548c\u673a\u5668\u5b66\u4e60\u96c6\u6210\u5230\u5f71\u50cf\u5904\u7406\u5de5\u4f5c\u6d41\u4e2d\uff0c\u53ef\u4ee5\u663e\u8457\u63d0\u9ad8\u8bca\u65ad\u7684\u51c6\u786e\u6027\u3001\u81ea\u52a8\u5316\u5904\u7406\u6d41\u7a0b\u5e76\u652f\u6301\u4e34\u5e8a\u51b3\u7b56\u3002\u56e0\u6b64\uff0c\u5f00\u53d1\u4e00\u79cd\u901a\u7528\u7684\u5f71\u50cf\u5d4c\u5165\u6a21\u578b\u4ee5\u9002\u5e94\u591a\u79cd\u533b\u5b66\u5f71\u50cf\u9886\u57df\uff0c\u6210\u4e3a\u5e94\u5bf9\u8fd9\u4e00\u95ee\u9898\u7684\u5173\u952e\u3002<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">\u57fa\u7840\u6a21\u578b\u5728\u533b\u5b66\u9886\u57df\u7684\u5e94\u7528<\/h5>\n\n\n\n<p>\u968f\u7740\u5927\u6a21\u578b\uff08Foundation Models\uff09\u5728NLP\u7b49\u9886\u57df\u53d6\u5f97\u6210\u529f\uff0c\u8fd9\u79cd\u6a21\u578b\u9010\u6e10\u5e94\u7528\u4e8e\u533b\u7597\u9886\u57df\uff0c\u5c24\u5176\u662f\u5728\u5f71\u50cf\u5904\u7406\u65b9\u9762\u3002\u8bba\u6587\u63d0\u5230\u4e00\u4e9b\u57fa\u7840\u6a21\u578b\uff0c\u5982GPT-4\u5728\u533b\u7597\u8003\u8bd5\uff08USMLE\uff09\u7b49\u591a\u4efb\u52a1\u4e0a\u7684\u8868\u73b0\u5353\u8d8a\uff0c\u663e\u793a\u4e86\u5176\u8de8\u9886\u57df\u7684\u9002\u5e94\u80fd\u529b\u3002\u56e0\u6b64\uff0c\u7814\u7a76\u4eba\u5458\u5e0c\u671b\u901a\u8fc7\u7c7b\u4f3c\u7684\u57fa\u7840\u6a21\u578b\uff0c\u521b\u5efa\u4e00\u79cd\u53ef\u9002\u5e94\u591a\u4e2a\u533b\u5b66\u5f71\u50cf\u9886\u57df\u7684\u901a\u7528\u6a21\u578b\uff0c\u51cf\u5c11\u5f00\u53d1\u5355\u72ec\u6a21\u578b\u7684\u6210\u672c\u548c\u590d\u6742\u5ea6\u3002<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">2. MedImageInsight\u6a21\u578b\u7684\u67b6\u6784\u4e0e\u6280\u672f\u7279\u70b9<\/h4>\n\n\n\n<p>MedImageInsight\u662f\u4e00\u4e2a\u8f7b\u91cf\u7ea7\u3001\u5f00\u6e90\u7684\u901a\u7528\u533b\u5b66\u5f71\u50cf\u5d4c\u5165\u6a21\u578b\uff0c\u4e13\u4e3a\u4e0d\u540c\u7c7b\u578b\u7684\u533b\u5b66\u5f71\u50cf\u6570\u636e\u8bbe\u8ba1\u3002\u6a21\u578b\u67b6\u6784\u4e0a\u501f\u9274\u4e86\u53cc\u5854\u7ed3\u6784\uff08Two-Tower Architecture\uff09\uff0c\u5176\u4e2d\u4e00\u4e2a\u5854\u662f\u56fe\u50cf\u7f16\u7801\u5668\uff0c\u53e6\u4e00\u4e2a\u5854\u662f\u6587\u672c\u7f16\u7801\u5668\uff0c\u4e8c\u8005\u901a\u8fc7\u5bf9\u6bd4\u5b66\u4e60\u7684\u65b9\u5f0f\u8fdb\u884c\u8bad\u7ec3\u3002<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">2.1. \u6a21\u578b\u53c2\u6570<\/h5>\n\n\n\n<p>\u6a21\u578b\u7684\u56fe\u50cf\u7f16\u7801\u5668\u548c\u6587\u672c\u7f16\u7801\u5668\u53c2\u6570\u5206\u522b\u4e3a0.36B\u548c0.25B\u3002\u4e0e\u73b0\u6709\u7684\u5927\u578b\u6a21\u578b\uff08\u5982GPT-4\u3001Med-PaLM\u7b49\uff09\u76f8\u6bd4\uff0cMedImageInsight\u6a21\u578b\u7684\u53c2\u6570\u91cf\u8f83\u5c0f\uff0c\u4f46\u5728\u591a\u9886\u57df\u533b\u5b66\u4efb\u52a1\u4e0a\u5c55\u73b0\u51fa\u5f3a\u5927\u7684\u6027\u80fd\u3002\u8fd9\u5f97\u76ca\u4e8e\u5176\u521b\u65b0\u7684\u67b6\u6784\u8bbe\u8ba1\u548c\u9ad8\u6548\u7684\u9884\u8bad\u7ec3\u7b56\u7565\u3002<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">2.2. \u6570\u636e\u6ce8\u91ca\u5f62\u5f0f<\/h5>\n\n\n\n<p>\u6a21\u578b\u5728\u9884\u8bad\u7ec3\u65f6\uff0c\u652f\u6301\u4e24\u79cd\u4e3b\u8981\u7684\u56fe\u50cf\u6ce8\u91ca\u5f62\u5f0f\uff1a\u56fe\u50cf-\u6587\u672c\u5bf9\u548c\u56fe\u50cf-\u6807\u7b7e\u5bf9\u3002\u8fd9\u79cd\u8bbe\u8ba1\u80fd\u591f\u8986\u76d6\u533b\u5b66\u5f71\u50cf\u9886\u57df\u4e2d\u5e38\u89c1\u7684\u6ce8\u91ca\u7c7b\u578b\uff0c\u9002\u5e94\u4e0d\u540c\u7684\u6570\u636e\u96c6\u9700\u6c42\u3002\u4f8b\u5982\uff0c\u6a21\u578b\u65e2\u53ef\u4ee5\u901a\u8fc7\u56fe\u50cf\u548c\u6807\u7b7e\u8fdb\u884c\u5206\u7c7b\u4efb\u52a1\uff0c\u4e5f\u53ef\u4ee5\u901a\u8fc7\u56fe\u50cf-\u6587\u672c\u5bf9\u8fdb\u884c\u56fe\u50cf\u68c0\u7d22\u4efb\u52a1\u200b\u3002<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">2.3. \u6a21\u578b\u4f18\u52bf<\/h5>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u9ad8\u6548\u6269\u5c55<\/strong>\uff1aMedImageInsight\u53ef\u4ee5\u572814\u4e2a\u4e0d\u540c\u533b\u5b66\u5f71\u50cf\u9886\u57df\u4e2d\u9ad8\u6548\u6269\u5c55\uff0c\u800c\u65e0\u9700\u4e3a\u6bcf\u4e2a\u9886\u57df\u5355\u72ec\u8fdb\u884c\u5fae\u8c03\u3002\u90e8\u5206\u9886\u57df\u4ec5\u4f7f\u7528100\u5f20\u56fe\u50cf\u5c31\u80fd\u8fdb\u884c\u6709\u6548\u8bad\u7ec3\u3002<\/li>\n\n\n\n<li><strong>\u900f\u660e\u7684\u51b3\u7b56\u8fc7\u7a0b<\/strong>\uff1a\u6a21\u578b\u652f\u6301\u751f\u6210ROC\u66f2\u7ebf\uff0c\u7528\u4e8e\u5206\u7c7b\u51b3\u7b56\u7684\u7f6e\u4fe1\u5ea6\u8bc4\u4f30\uff0c\u8fd9\u5bf9\u4e34\u5e8a\u5e94\u7528\u4e2d\u8c03\u8282\u7075\u654f\u5ea6\u548c\u7279\u5f02\u6027\u6781\u4e3a\u91cd\u8981\u3002\u540c\u65f6\uff0c\u6a21\u578b\u80fd\u591f\u901a\u8fc7\u56fe\u50cf-\u56fe\u50cf\u68c0\u7d22\u63d0\u4f9b\u5206\u7c7b\u9884\u6d4b\u7684\u76f4\u63a5\u8bc1\u636e\uff0c\u4f7f\u5f97\u51b3\u7b56\u8fc7\u7a0b\u66f4\u52a0\u900f\u660e\u3002<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">3. \u6a21\u578b\u6027\u80fd\u4e0e\u8bc4\u4f30<\/h4>\n\n\n\n<p>MedImageInsight\u5728\u591a\u4e2a\u516c\u5f00\u6570\u636e\u96c6\u4e0a\u7684\u6027\u80fd\u7ecf\u8fc7\u4e25\u683c\u8bc4\u4f30\uff0c\u6db5\u76d6\u4e86\u4e0d\u540c\u7c7b\u578b\u7684\u533b\u5b66\u5f71\u50cf\u9886\u57df\uff0c\u5982X\u5149\u3001CT\u3001MRI\u3001\u76ae\u80a4\u75c5\u5b66\u3001\u773c\u79d1\u7b49\u3002\u5728\u591a\u4e2a\u4efb\u52a1\u4e0a\uff0c\u6a21\u578b\u90fd\u5c55\u73b0\u4e86\u4f18\u5f02\u7684\u6027\u80fd\u3002<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">3.1. \u516c\u5171\u6570\u636e\u96c6\u7684\u5206\u7c7b\u4e0e\u68c0\u7d22\u4efb\u52a1<\/h5>\n\n\n\n<p>\u8bba\u6587\u8be6\u7ec6\u63cf\u8ff0\u4e86MedImageInsight\u5728\u5206\u7c7b\u3001\u56fe\u50cf-\u56fe\u50cf\u68c0\u7d22\u4ee5\u53ca3D\u533b\u5b66\u56fe\u50cf\u68c0\u7d22\u4efb\u52a1\u4e2d\u7684\u8868\u73b0\u3002\u4f8b\u5982\uff0c\u5728\u80f8\u90e8X\u5149\u6570\u636e\u96c6\u7684\u75be\u75c5\u5206\u7c7b\u548c\u68c0\u7d22\u4efb\u52a1\u4e2d\uff0c\u6a21\u578b\u8fbe\u5230\u4e86SOTA\uff08\u6700\u65b0\u6280\u672f\u6c34\u5e73\uff09\uff0c\u5e76\u4e14\u5728\u9aa8\u9f84\u4f30\u7b97\u4efb\u52a1\u4e2d\u8fbe\u5230\u4e86\u4eba\u7c7b\u4e13\u5bb6\u6c34\u5e73\u200b\u3002\u5c24\u5176\u662f\u57283D\u533b\u5b66\u56fe\u50cf\u68c0\u7d22\u4e2d\uff0c\u6a21\u578b\u5728\u809d\u3001\u80ba\u3001\u80f0\u817a\u548c\u7ed3\u80a0\u7684\u80bf\u7624\u68c0\u6d4b\u4efb\u52a1\u4e0a\u8868\u73b0\u51fa\u8272\uff0c\u7cbe\u786e\u5ea6\u660e\u663e\u8d85\u8fc7\u5176\u4ed6\u6a21\u578b\u3002<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">3.2. \u4efb\u52a1\u5fae\u8c03\u5b9e\u9a8c<\/h5>\n\n\n\n<p>\u6a21\u578b\u5728\u591a\u9886\u57df\u533b\u5b66\u4efb\u52a1\u4e2d\u65e0\u9700\u5fae\u8c03\u5373\u53ef\u8fbe\u5230SOTA\u8868\u73b0\uff0c\u4f46\u4e3a\u4e86\u8bc4\u4f30\u5176\u5728\u7279\u5b9a\u4efb\u52a1\u4e0a\u7684\u9002\u5e94\u80fd\u529b\uff0c\u7814\u7a76\u56e2\u961f\u8fdb\u884c\u4e86\u5fae\u8c03\u5b9e\u9a8c\u3002\u8bba\u6587\u5c55\u793a\u4e86MedImageInsight\u5728ChestX-ray14\u6570\u636e\u96c6\u4e0a\u7684\u5fae\u8c03\u7ed3\u679c\uff0c\u7279\u522b\u662f\u5728\u6c34\u80bf\u3001\u80ba\u5b9e\u53d8\u3001\u80f8\u8154\u79ef\u6db2\u7b49\u4e09\u79cd\u4e34\u5e8a\u91cd\u8981\u6761\u4ef6\u4e0b\u7684\u8868\u73b0\u200b\u3002\u5b9e\u9a8c\u8868\u660e\uff0c\u6a21\u578b\u5fae\u8c03\u540e\u80fd\u591f\u5728\u591a\u4e2a\u9886\u57df\u7684\u4efb\u52a1\u4e0a\u4e0e\u5176\u4ed6SOTA\u6a21\u578b\uff08\u5982CXR Foundation\u548cELIXR\uff09\u8868\u73b0\u76f8\u5f53\u3002<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">4. 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