{"id":3756,"date":"2026-04-12T21:00:07","date_gmt":"2026-04-12T13:00:07","guid":{"rendered":"https:\/\/1ow.top\/index.php\/2026\/04\/12\/36-4%e4%b8%87%e8%b6%85%e5%a3%b0%e5%9b%be%e6%96%87%e5%af%b9%ef%bc%81%e4%b8%ad%e5%9b%bd%e5%9b%a2%e9%98%9f%e6%9e%84%e5%bb%ba%e9%a6%96%e4%b8%aa%e5%a4%a7%e8%a7%84%e6%a8%a1%e8%b6%85%e5%a3%b0%e4%b8%93\/"},"modified":"2026-04-12T21:00:07","modified_gmt":"2026-04-12T13:00:07","slug":"36-4%e4%b8%87%e8%b6%85%e5%a3%b0%e5%9b%be%e6%96%87%e5%af%b9%ef%bc%81%e4%b8%ad%e5%9b%bd%e5%9b%a2%e9%98%9f%e6%9e%84%e5%bb%ba%e9%a6%96%e4%b8%aa%e5%a4%a7%e8%a7%84%e6%a8%a1%e8%b6%85%e5%a3%b0%e4%b8%93","status":"publish","type":"post","link":"https:\/\/1ow.top\/index.php\/2026\/04\/12\/36-4%e4%b8%87%e8%b6%85%e5%a3%b0%e5%9b%be%e6%96%87%e5%af%b9%ef%bc%81%e4%b8%ad%e5%9b%bd%e5%9b%a2%e9%98%9f%e6%9e%84%e5%bb%ba%e9%a6%96%e4%b8%aa%e5%a4%a7%e8%a7%84%e6%a8%a1%e8%b6%85%e5%a3%b0%e4%b8%93\/","title":{"rendered":"36.4\u4e07\u8d85\u58f0\u56fe\u6587\u5bf9\uff01\u4e2d\u56fd\u56e2\u961f\u6784\u5efa\u9996\u4e2a\u5927\u89c4\u6a21\u8d85\u58f0\u4e13\u5c5e\u6570\u636e\u96c6\uff0c\u8ba9AI\u771f\u6b63\u8bfb\u61c2\u4e34\u5e8a\u8bca\u65ad\u8bed\u4e49\u4e28CVPR\u201926"},"content":{"rendered":"
\"36.4\u4e07\u8d85\u58f0\u56fe\u6587\u5bf9\uff01\u4e2d\u56fd\u56e2\u961f\u6784\u5efa\u9996\u4e2a\u5927\u89c4\u6a21\u8d85\u58f0\u4e13\u5c5e\u6570\u636e\u96c6\uff0c\u8ba9AI\u771f\u6b63\u8bfb\u61c2\u4e34\u5e8a\u8bca\u65ad\u8bed\u4e49\u4e28CVPR\u201926\"\/<\/div><\/figure>\n
\"36.4\u4e07\u8d85\u58f0\u56fe\u6587\u5bf9\uff01\u4e2d\u56fd\u56e2\u961f\u6784\u5efa\u9996\u4e2a\u5927\u89c4\u6a21\u8d85\u58f0\u4e13\u5c5e\u6570\u636e\u96c6\uff0c\u8ba9AI\u771f\u6b63\u8bfb\u61c2\u4e34\u5e8a\u8bca\u65ad\u8bed\u4e49\u4e28CVPR\u201926\"\/<\/div><\/figure>\n
\"36.4\u4e07\u8d85\u58f0\u56fe\u6587\u5bf9\uff01\u4e2d\u56fd\u56e2\u961f\u6784\u5efa\u9996\u4e2a\u5927\u89c4\u6a21\u8d85\u58f0\u4e13\u5c5e\u6570\u636e\u96c6\uff0c\u8ba9AI\u771f\u6b63\u8bfb\u61c2\u4e34\u5e8a\u8bca\u65ad\u8bed\u4e49\u4e28CVPR\u201926\"\/<\/div><\/figure>\n
\"36.4\u4e07\u8d85\u58f0\u56fe\u6587\u5bf9\uff01\u4e2d\u56fd\u56e2\u961f\u6784\u5efa\u9996\u4e2a\u5927\u89c4\u6a21\u8d85\u58f0\u4e13\u5c5e\u6570\u636e\u96c6\uff0c\u8ba9AI\u771f\u6b63\u8bfb\u61c2\u4e34\u5e8a\u8bca\u65ad\u8bed\u4e49\u4e28CVPR\u201926\"\/<\/div><\/figure>\n

Ultrasound-CLIP\u56e2\u961f \u6295\u7a3f<\/p>\n

\u8d85\u58f0\u9886\u57df\u4e5f\u6709\u5927\u6a21\u578b\u4e86\uff01<\/p>\n

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\u9488\u5bf9\u8fd9\u4e00\u95ee\u9898\uff0c\u6d59\u5927\u57ce\u5e02\u5b66\u9662\u8054\u5408\u6d59\u6c5f\u5927\u5b66\u3001\u9999\u6e2f\u57ce\u5e02\u5927\u5b66\u3001\u9999\u6e2f\u6d78\u4f1a\u5927\u5b66\u3001\u6d59\u6c5f\u5927\u5b66\u533b\u5b66\u9662\u9644\u5c5e\u7b2c\u4e00\u533b\u9662\u3001\u6d59\u6c5f\u5927\u5b66\u533b\u5b66\u9662\u9644\u5c5e\u5987\u4ea7\u79d1\u533b\u9662\u7b49\u56e2\u961f\uff0c\u6784\u5efa\u4e86\u9996\u4e2a\u5927\u89c4\u6a21\u901a\u7528\u8d85\u58f0\u56fe\u50cf-\u6587\u672c\u6570\u636e\u96c6US-365K\uff0c\u5e76\u63d0\u51fa\u4e13\u4e3a\u8d85\u58f0\u573a\u666f\u8bbe\u8ba1\u7684\u8bed\u4e49\u611f\u77e5\u5bf9\u6bd4\u5b66\u4e60\u6846\u67b6Ultrasound-CLIP\uff0c\u8ba9\u6a21\u578b\u771f\u6b63\u7406\u89e3\u8d85\u58f0\u7684\u4e34\u5e8a\u8bca\u65ad\u8bed\u4e49\uff0c\u76f8\u5173\u6210\u679c\u88abCVPR 2026\u63a5\u6536\uff0c\u6570\u636e\u96c6\u53ca\u4ee3\u7801\u5df2\u5f00\u6e90\u3002<\/p>\n

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1. \u6570\u636e\u7f3a\u53e3\u663e\u8457\uff1a\u4e3b\u6d41\u533b\u7597\u8de8\u6a21\u6001\u6570\u636e\u96c6\u4ee5CT\u3001MRI\u7b49\u4e3a\u4e3b\uff0c\u8d85\u58f0\u6837\u672c\u5360\u6bd4\u6781\u4f4e\uff0c\u7f3a\u4e4f\u5927\u89c4\u6a21\u3001\u6807\u51c6\u5316\u7684\u4e13\u5c5e\u8bad\u7ec3\u6570\u636e\uff1b<\/p>\n

2. \u8bed\u4e49\u6a21\u7cca\u96be\u5bf9\u9f50\uff1a\u8d85\u58f0\u8bca\u65ad\u62a5\u544a\u7684\u8868\u8ff0\u591a\u6837\uff0c\u76f8\u540c\u75c5\u53d8\u5b58\u5728\u4e0d\u540c\u63cf\u8ff0\u65b9\u5f0f\uff0c\u4f20\u7edf\u5bf9\u6bd4\u5b66\u4e60\u96be\u4ee5\u7cbe\u51c6\u754c\u5b9a\u6b63\u8d1f\u6837\u672c\uff0c\u6613\u4ea7\u751f\u8bed\u4e49\u504f\u5dee\uff1b<\/p>\n

3. \u7f3a\u4e4f\u4e34\u5e8a\u7ed3\u6784\u5148\u9a8c\uff1a\u8d85\u58f0\u8bca\u65ad\u4f9d\u8d56\u75c5\u7076\u4e0e\u8bca\u65ad\u5c5e\u6027\u7684\u590d\u6742\u5173\u8054\uff0c\u901a\u7528\u6a21\u578b\u65e0\u6cd5\u5efa\u6a21\u8fd9\u7c7b\u4e13\u4e1a\u7684\u4e34\u5e8a\u63a8\u7406\u903b\u8f91\uff0c\u4ec5\u80fd\u5b9e\u73b0\u7b80\u5355\u7684\u5173\u952e\u8bcd\u5339\u914d\u3002<\/p>\n

\u4e0a\u56fe\u4e2d(a) UDT\u4f5c\u4e3a\u8bed\u4e49\u57fa\u7840\uff0c\u901a\u8fc7\u6807\u51c6\u5316\u89e3\u5256\u5c42\u6b21\u7ed3\u6784\uff08UHAT\uff09\u548c\u5b9a\u4e499\u4e2a\u5173\u952e\u8bca\u65ad\u5c5e\u6027\uff08UDAF\uff09\u6765\u5f62\u5f0f\u5316\u8d85\u58f0\u77e5\u8bc6\u3002(b) Ultrasound-CLIP\u5229\u7528UDT\u7684\u65b9\u5f0f\u6709\u4e24\u79cd\uff1a(1)\u57fa\u4e8eUDAF\u7684\u5f02\u6784\u56fe\u7f16\u7801\u5668\u901a\u8fc7\u4ea4\u53c9\u6ce8\u610f\u529b\u5c06\u5c5e\u6027\u5173\u7cfb\u878d\u5408\u5230\u6587\u672c\u5d4c\u5165\u4e2d\uff0c\u4ee5\u5efa\u6a21\u7ed3\u6784\u5316\u63a8\u7406\u3002(2)\u6784\u5efa\u57fa\u4e8eUDAF\u7684\u8bed\u4e49\u5148\u9a8c\uff0c\u4ee5\u5b9e\u73b0\u53cc\u76ee\u6807\u4f18\u5316\uff0c\u4ece\u800c\u89e3\u51b3\u6b67\u4e49\u3002\u8be5\u6846\u67b6\u5c06\u89c6\u89c9\u7279\u5f81\u4e0e\u8fd9\u4e9b\u56fe\u589e\u5f3a\u7684\u3001\u8bed\u4e49\u611f\u77e5\u7684\u6587\u672c\u8868\u793a\u5bf9\u9f50\u3002<\/p>\n

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\uff083\uff09\u53cc\u76ee\u6807\u4f18\u5316\u7b56\u7565\uff0c\u5b9e\u73b0\u8de8\u6a21\u6001\u7cbe\u51c6\u5bf9\u9f50\u4e0e\u8bed\u4e49\u6b63\u5219\u5316<\/p>\n

\u6846\u67b6\u91c7\u7528\u5bf9\u6bd4\u635f\u5931+\u8bed\u4e49\u635f\u5931\u7684\u53cc\u76ee\u6807\u4f18\u5316\u7b56\u7565\uff0c\u8ba9\u6a21\u578b\u540c\u65f6\u5b9e\u73b0\u56fe\u50cf-\u6587\u672c\u8de8\u6a21\u6001\u7cbe\u51c6\u5bf9\u9f50\u548c\u8bed\u4e49\u7279\u5f81\u7684\u6b63\u5219\u5316\uff1a<\/p>\n

\u5bf9\u6bd4\u635f\u5931\uff08L(CLIP)\uff09\uff1a\u91c7\u7528\u7ecf\u5178\u5bf9\u79f0\u5bf9\u6bd4\u635f\u5931\uff0c\u6700\u5927\u5316\u6b63\u6837\u672c\u5bf9\uff08\u56fe\u50cf-\u5bf9\u5e94\u6587\u672c\uff09\u7684\u76f8\u4f3c\u5ea6\uff0c\u6700\u5c0f\u5316\u8d1f\u6837\u672c\u5bf9\u7684\u76f8\u4f3c\u5ea6\uff0c\u5b9e\u73b0\u56fe\u50cf\u4e0e\u6587\u672c\u7684\u57fa\u7840\u8de8\u6a21\u6001\u5bf9\u9f50\uff1b<\/p>\n

\u8bed\u4e49\u635f\u5931\uff08L(semantic)\uff09\uff1a\u878d\u5408\u5747\u65b9\u8bef\u5dee\uff08MSE\uff09\u548cKL\u6563\u5ea6\uff0c\u8ba9\u6a21\u578b\u9884\u6d4b\u7684\u76f8\u4f3c\u5ea6\u77e9\u9635\u4e0eUDAF\u57fa\u8bed\u4e49\u8f6f\u5148\u9a8c\u77e9\u9635\u5339\u914d\uff0c\u65e2\u5b9e\u73b0\u76f8\u4f3c\u5ea6\u7684\u6570\u503c\u5339\u914d\uff0c\u53c8\u4fdd\u8bc1\u5206\u5e03\u4e00\u81f4\u6027\uff0c\u8ba9\u8bed\u4e49\u76f8\u4f3c\u7684\u6837\u672c\u5728\u7279\u5f81\u7a7a\u95f4\u4e2d\u6709\u6548\u805a\u7c7b\u3002<\/p>\n

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\u56e2\u961f\u4ee5US-365K\u4e3a\u57fa\u7840\uff0c\u5728\u591a\u4efb\u52a1\u5206\u7c7b\u3001\u56fe\u50cf-\u6587\u672c\u68c0\u7d22\u4efb\u52a1\u4e2d\u5f00\u5c55\u5b9e\u9a8c\uff0c\u5e76\u57284\u4e2a\u516c\u5f00\u7684\u8d85\u58f0\u4e0b\u6e38\u6570\u636e\u96c6\u4e0a\u9a8c\u8bc1\u6a21\u578b\u6cdb\u5316\u80fd\u529b\uff0c\u7ed3\u679c\u663e\u793aUltrasound-CLIP\u5168\u9762\u4f18\u4e8e\u73b0\u6709\u533b\u7597CLIP\u57fa\u7ebf\u6a21\u578b\uff1a<\/p>\n

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\u4e3a\u63a8\u52a8\u8d85\u58f0\u8de8\u6a21\u6001\u5b66\u4e60\u9886\u57df\u7684\u53d1\u5c55\uff0c\u56e2\u961f\u5df2\u5c06\u7814\u7a76\u76f8\u5173\u7684\u4ee3\u7801\u548cUS-365K\u6570\u636e\u96c6\u516c\u5f00\uff0c\u4e3a\u540e\u7eed\u7814\u7a76\u8005\u63d0\u4f9b\u53ef\u76f4\u63a5\u590d\u7528\u7684\u57fa\u7840\u8d44\u6e90\u3002<\/p>\n

\u8bba\u6587\u6807\u9898\uff1aUltrasound-CLIP: Semantic-Aware Contrastive Pre-training for Ultrasound Image-Text Understanding\u4f5c\u8005\uff1aJiayun Jin, Haolong Chai, Xueying Huang, Xiaoqing Guo, Zengwei Zheng, Zhan Zhou, Junmei Wang, Xinyu Wang, Jie Liu*, Binbin Zhou*\u5355\u4f4d\uff1a\u6d59\u5927\u57ce\u5e02\u5b66\u9662\u3001\u9999\u6e2f\u6d78\u4f1a\u5927\u5b66\u3001\u6d59\u6c5f\u5927\u5b66\u3001\u6d59\u6c5f\u5927\u5b66\u533b\u5b66\u9662\u9644\u5c5e\u7b2c\u4e00\u533b\u9662\u3001\u6d59\u6c5f\u5927\u5b66\u533b\u5b66\u9662\u9644\u5c5e\u5987\u4ea7\u79d1\u533b\u9662\u3001\u9999\u6e2f\u57ce\u5e02\u5927\u5b66\u53d1\u8868\uff1aCVPR 2026arxiv\u8bba\u6587\u5730\u5740\uff1ahttp:\/\/arxiv.org\/abs\/2604.01749\u9879\u76ee\u5730\u5740\uff1ahttps:\/\/github.com\/ZJUDataIntelligence\/Ultrasound-CLIP\u6570\u636e\u96c6\u5730\u5740\uff1ahttps:\/\/huggingface.co\/datasets\/JJY-0823\/US-365K\u4f5c\u8005\u7b80\u4ecb\uff1a\u672c\u6587\u7b2c\u4e00\u4f5c\u8005\u4e3a\u91d1\u4f73\u4e91\uff0c\u6d59\u5927\u57ce\u5e02\u5b66\u9662\u7855\u58eb\u751f\uff0c\u7814\u7a76\u65b9\u5411\u4e3a\u591a\u6a21\u6001\u5927\u6a21\u578b\u3002\u672c\u6587\u5728\u5468\u658c\u5f6c\u526f\u6559\u6388\u548c\u5218\u6d01\u535a\u58eb\u7684\u6307\u5bfc\u4e0b\u5b8c\u6210\u3002<\/p>\n

\n

\u7248\u6743\u58f0\u660e\uff1a<\/strong><\/p>\n

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Ultrasound-CLIP\u56e2\u961f \u6295\u7a3f<\/p>\n

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