{"id":39394,"date":"2025-03-14T02:02:34","date_gmt":"2025-03-13T18:02:34","guid":{"rendered":"https:\/\/17aitech.com\/?p=39394"},"modified":"2025-03-14T02:02:34","modified_gmt":"2025-03-13T18:02:34","slug":"%e7%a7%91%e5%ad%a6%e5%ae%b6%e6%9e%84%e5%bb%ba%e5%a4%9a%e6%a8%a1%e6%80%81llm%e6%a1%86%e6%9e%b6%ef%bc%8c%e8%bf%9b%e8%a1%8c3d%e8%84%91ct%e6%94%be%e5%b0%84%e5%ad%a6%e6%8a%a5%e5%91%8a%e7%94%9f%e6%88%90","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=39394","title":{"rendered":"\u79d1\u5b66\u5bb6\u6784\u5efa\u591a\u6a21\u6001LLM\u6846\u67b6\uff0c\u8fdb\u884c3D\u8111CT\u653e\u5c04\u5b66\u62a5\u544a\u751f\u6210"},"content":{"rendered":"

\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:\u79d1\u5b66\u5bb6\u6784\u5efa\u591a\u6a21\u6001LLM\u6846\u67b6\uff0c\u8fdb\u884c3D\u8111CT\u653e\u5c04\u5b66\u62a5\u544a\u751f\u6210<\/a><\/p>\n

<\/a><\/section>\n

\u7f16\u8f91 | \u70c2\u83dc\u53f6<\/p>\n

\u591a\u6a21\u6001\u5927\u578b\u8bed\u8a00\u6a21\u578b<\/mark> (MLLM) \u5df2\u7ecf\u6539\u53d8\u4e86\u73b0\u4ee3\u533b\u7597\u4fdd\u5065\u7684\u683c\u5c40\uff0c\u5176\u4e2d\u81ea\u52a8\u653e\u5c04\u5b66\u62a5\u544a\u751f\u6210 (RRG) \u6b63\u5728\u6210\u4e3a\u4e00\u79cd\u5c16\u7aef\u5e94\u7528\u3002<\/p>\n

\u867d\u7136\u57fa\u4e8e 2D MLLM \u7684 RRG \u5df2\u7ecf\u5f97\u5230\u5145\u5206\u8ba4\u53ef\uff0c\u4f46\u5176\u5728 3D \u533b\u5b66\u56fe\u50cf\u4e2d\u7684\u5b9e\u7528\u6027\u4ecd\u672a\u5f97\u5230\u5145\u5206\u5f00\u53d1\u3002<\/p>\n

\u5728\u8fd9\u65b9\u9762\uff0c\u53f0\u5317\u8363\u6c11\u603b\u533b\u9662\uff08Taipei Veterans General Hospital\uff09\u3001\u53f0\u6e7e\u9633\u660e\u4ea4\u901a\u5927\u5b66\uff08National Yang Ming Chiao Tung University\uff09\u4ee5\u53ca\u7f8e\u56fd\u52a0\u5dde\u5927\u5b66\u7684\u7814\u7a76\u4eba\u5458\u6574\u7406\u4e86 3D-BrainCT \u6570\u636e\u96c6\uff0818,885 \u4e2a\u6587\u672c\u626b\u63cf\u5bf9\uff09\u5e76\u5f00\u53d1\u4e86 BrainGPT\uff0c\u8fd9\u662f\u4e00\u79cd\u4e13\u4e3a 3D CT RRG \u8bbe\u8ba1\u7684\u4e34\u5e8a\u89c6\u89c9\u6307\u4ee4\u8c03\u6574 (CVIT) \u6a21\u578b\u3002<\/p>\n

\u8be5\u56e2\u961f\u8fd8\u63d0\u51fa\u4e86\u9762\u5411\u7279\u5f81\u7684\u653e\u5c04\u5b66\u4efb\u52a1\u8bc4\u4f30 (FORTE)\uff0c\u8fd9\u662f\u4e00\u79cd\u6355\u6349\u751f\u6210\u62a5\u544a\u7684\u4e34\u5e8a\u672c\u8d28\u7684\u8bc4\u4f30\u65b9\u6848\u3002<\/p>\n

\u6d4b\u8bd5\u8868\u660e BrainGPT \u7684\u5e73\u5747 FORTE F1 \u5f97\u5206\u4e3a 0.71\uff08degree\u2009=\u20090.661; landmark\u2009=\u20090.706; feature\u2009=\u20090.693, and impression\u2009=\u20090.779\uff09\uff0c\u5e76\u4e14\u5728\u7c7b\u56fe\u7075\u6d4b\u8bd5<\/mark>\u4e2d\uff0c74% \u7684 BrainGPT \u751f\u6210\u7684\u62a5\u544a\u4e0e\u4eba\u7c7b\u4e66\u5199\u7684\u57fa\u672c\u4e8b\u5b9e\u65e0\u6cd5\u533a\u5206\u3002<\/p>\n

\u8be5\u7814\u7a76\u4ee5\u300cTowards a holistic framework for multimodal LLM in 3D brain CT radiology report generation<\/em>\u300d\u4e3a\u9898\uff0c\u4e8e 2025 \u5e74 3 \u6708 6 \u65e5\u53d1\u5e03\u5728\u300aNature Communications<\/em>\u300b\u3002<\/p>\n

<\/a><\/section>\n

\u73b0\u4ee3\u533b\u7597\u4fdd\u5065\u4e2d\u7684\u4eba\u5de5\u667a\u80fd<\/mark> (AI) \u5b9e\u65bd\u5f7b\u5e95\u6539\u53d8\u4e86\u533b\u9662\u5728\u60a3\u8005\u8bca\u65ad\u3001\u75be\u75c5\u5e72\u9884\u548c\u4e34\u5e8a\u7814\u7a76\u65b9\u9762\u7684\u65e5\u5e38\u5b9e\u8df5\u3002\u867d\u7136\u5377\u79ef\u795e\u7ecf\u7f51\u7edc<\/mark> (CNN) \u5df2\u7ecf\u653b\u514b\u4e86\u56fe\u50cf\u5206\u7c7b<\/mark>\u548c\u7279\u5f81\u5206\u5272\u65b9\u9762\u7684\u4e00\u4e9b\u4e3b\u8981\u4efb\u52a1\uff0c\u4f46 CNN \u8f93\u51fa\u76f8\u5bf9\u53d7\u4e0a\u4e0b\u6587\u9650\u5236\uff0c\u5e76\u4e14\u4e0d\u5982\u5b8c\u6574\u7684\u4e66\u9762\u8bca\u65ad\u62a5\u544a\u90a3\u4e48\u4ee4\u4eba\u62c5\u5fe7\u3002<\/p>\n

\u9274\u4e8e\u8fd9\u4e00\u4e34\u5e8a\u5dee\u8ddd\uff0c\u5df2\u5efa\u7acb\u4e86\u7528\u4e8e\u80f8\u90e8 X \u5149 (CXR) \u89e3\u91ca\u7684\u65e9\u671f\u62a5\u544a\u751f\u6210\u6a21\u578b<\/mark>\u3002\u5176\u4e2d\uff0c\u57fa\u4e8e LLM \u7684 CXR \u62a5\u544a\u751f\u6210\u7684\u6210\u529f\u6fc0\u53d1\u4e86\u8de8\u5b66\u79d1\u9886\u57df\u79d1\u5b66\u5bb6\u5bf9\u4eba\u673a\u754c\u9762\u7684\u63a2\u7d22\u5174\u8da3\uff0c\u5176\u4e2d\u591a\u6a21\u6001\u5927\u578b\u8bed\u8a00\u6a21\u578b<\/mark> (MLLM) \u53ef\u4ee5\u4f5c\u4e3a\u533b\u7597\u4e13\u5bb6\u7684\u52a9\u624b\u3002<\/p>\n

\u4e3a\u4e86\u8bc4\u4f30 MLLM \u5728\u653e\u5c04\u5b66\u62a5\u544a\u751f\u6210 (RRG) \u4e2d\u7684\u51c6\u5907\u60c5\u51b5\uff0c\u53f0\u5317\u8363\u6c11\u603b\u533b\u9662\u7684\u7814\u7a76\u4eba\u5458\u8c03\u67e5\u4e86\u76f8\u5173\u5de5\u4f5c\u5e76\u786e\u5b9a\u4e86\u8fc4\u4eca\u4e3a\u6b62 MLLM \u653e\u5c04\u5b66\u5e94\u7528\u4e2d\u7684\u4e09\u4e2a\u5ba2\u89c2\u9650\u5236\uff1a<\/p>\n

\uff081\uff09\u7814\u7a76\u6700\u591a\u7684 CXR \u6a21\u5f0f\u7f3a\u4e4f\u8db3\u591f\u7684\u75c5\u53d8\u591a\u6837\u6027\u6765\u53cd\u6620\u73b0\u5b9e\u4e16\u754c\u7684\u8bca\u65ad\u6311\u6218\uff0c\uff082\uff09\u5728\u89e3\u91ca\u4f53\u79ef\u626b\u63cf\u65f6\u5c1a\u672a\u5145\u5206\u6d4b\u8bd5\u6700\u5927\u6a21\u578b\u5bb9\u91cf\uff0c\uff083\uff09\u6ca1\u6709\u53ef\u7528\u4e8e\u8861\u91cf MLLM \u62a5\u544a\u4fe1\u606f\u5bc6\u5ea6\u548c\u4fdd\u771f\u5ea6\u7684\u901a\u7528\u8bc4\u4f30\u6307\u6807\u3002<\/p>\n

\u65b0\u65b9\u6848<\/p>\n

\u8fd9\u4e9b\u672a\u89e3\u51b3\u7684\u95ee\u9898\u5171\u540c\u963b\u788d\u4e86\u5177\u6709\u5f71\u54cd\u529b\u7684\u533b\u5b66 MLLM \u7684\u53d1\u5c55\u3002\u5728\u6700\u65b0\u7684\u7814\u7a76\u4e2d\uff0c\u8be5\u56e2\u961f\u5728\u901a\u8fc7\u89e3\u51b3\u4ee5\u4e0b\u95ee\u9898\u6765\u63d0\u9ad8 MLLM \u5728\u653e\u5c04\u5b66\u4e2d\u7684\u9002\u5e94\u6027\uff1a<\/p>\n

\uff081\uff09\u4ed6\u4eec\u6574\u7406\u4e86\u4e00\u4e2a\u5927\u89c4\u6a21 3D \u8111 CT \u6570\u636e\u96c6\uff0818,885 \u4e2a\u6587\u672c\u626b\u63cf\u5bf9\uff09\uff0c\u5176\u4e2d\u5305\u542b\u4e30\u5bcc\u7684\u75c5\u53d8\u7ec6\u8282\uff0c\u5305\u62ec\u795e\u7ecf\u5143<\/mark>\u548c\u8840\u7ba1 CT \u7279\u5f81\u7684\u7a0b\u5ea6\u3001\u7a7a\u95f4\u6807\u5fd7\u548c\u8bca\u65ad\u5370\u8c61\u3002<\/p>\n

\uff082\uff09\u7814\u7a76\u4eba\u5458\u63d0\u51fa\u4e86\u4e34\u5e8a\u89c6\u89c9\u6307\u4ee4\u8c03\u6574 (CVIT) \u6982\u5ff5\uff0c\u4ee5\u589e\u5f3a\u5f00\u6e90\u00a0Otter\u00a0\u57fa\u7840\u6a21\u578b\u7684\u533b\u5b66\u9886\u57df\u77e5\u8bc6\u3002\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0cCVIT \u589e\u5f3a\u578b BrainGPT \u6a21\u578b\u5c55\u793a\u4e86\u591a\u56fe\u50cf\u5b57\u5e55\uff08Image Captioning\uff09\u529f\u80fd\uff0c\u5e76\u5bf9\u4f53\u79ef\u8111 CT \u626b\u63cf\u8fdb\u884c\u4e86\u4e34\u5e8a\u5408\u7406\u7684\u89e3\u91ca\u3002BrainGPT \u6a21\u578b\u7684\u8bca\u65ad\u51c6\u786e\u6027\u548c\u8bed\u8a00\u98ce\u683c\u5728 CQ500 \u6570\u636e\u96c6\u4e0a\u8fdb\u884c\u4e86\u5916\u90e8\u9a8c\u8bc1\uff0c\u5e76\u5305\u62ec 11 \u540d\u533b\u751f\u8bc4\u4f30\u5458\u8fdb\u884c\u7c7b\u4f3c\u56fe\u7075\u6d4b\u8bd5<\/mark>\u7684\u8bed\u8a00\u98ce\u683c\u8bc4\u4f30\u3002<\/p>\n

\uff083\uff09\u56e2\u961f\u63d0\u51fa\u4e86\u4e00\u79cd\u9762\u5411\u7279\u5f81\u7684\u653e\u5c04\u5b66\u4efb\u52a1\u8bc4\u4f30 (FORTE) \u8bc4\u4f30\u7ed3\u6784\uff0c\u6765\u8bc4\u4f30 MLLM \u751f\u6210\u5b57\u5e55\u7684\u5e94\u7528\u524d\u666f\u3002FORTE \u7684\u53d8\u91cf\u5305\u62ec\u8bca\u65ad\u653e\u5c04\u5b66\u53e5\u5b50\u4e2d\u7684\u56db\u4e2a\u57fa\u672c\u5173\u952e\u5b57\u7ec4\u6210\u90e8\u5206\uff08\u7a0b\u5ea6\u3001\u6807\u5fd7\u3001\u7279\u5f81\u548c\u5370\u8c61\uff09\u3002\u901a\u8fc7\u8fdb\u4e00\u6b65\u68c0\u67e5\u751f\u6210\u7684\u5185\u5bb9\u548c\u8bc4\u4f30\u5206\u6570\u4e4b\u95f4\u7684\u76f8\u5173\u6027\uff0c\u4ed6\u4eec\u5efa\u8bae\u4f7f\u7528\u53e5\u5b50\u914d\u5bf9\u548c\u5426\u5b9a\u6d88\u9664\u5bf9 MLLM \u8f93\u51fa\u8fdb\u884c\u9884\u5904\u7406\u53ef\u4ee5\u589e\u5f3a\u5bf9\u9f50\u5e76\u8fc7\u6ee4\u6389\u4e0d\u76f8\u5173\u7684\u56fe\u50cf\u63cf\u8ff0\u3002<\/p>\n

<\/a><\/section>\n

\u56fe\u793a\uff1a\u4f7f\u7528 MLLM \u4ece 3D \u8111\u90e8 CT \u626b\u63cf\u751f\u6210\u653e\u5c04\u5b66\u62a5\u544a\u7684\u793a\u610f\u56fe\u6982\u8ff0\u3002\uff08\u6765\u6e90\uff1a\u8bba\u6587)<\/p>\n

\u6027\u80fd\u8bc4\u4f30\u4e0e\u8ba8\u8bba<\/strong><\/p>\n

\u4e4b\u524d\uff0cHamamci \u56e2\u961f\u7814\u7a76\u8868\u660e\uff0c\u751f\u6210\u6a21\u578b<\/mark>\u80fd\u591f\u4ee5\u6700\u5148\u8fdb\u7684 (SOTA) \u6c34\u5e73\u751f\u6210 3D \u80f8\u90e8 CT \u62a5\u544a\uff08BLEU-1\u2009=\u200946\u3001BLEU-4\u2009=\u200936.9\u3001METEOR\u2009=\u200929.5\u3001ROUGE-L\u2009=\u200945.9\uff09\u3002<\/p>\n

\u7136\u800c\uff0c\u4ed6\u4eec\u7684\u5b9a\u5236 Transformer \u6a21\u578b\u9700\u8981\u5728\u5355\u4e2a NVIDIA A100 GPU \u4e0a\u8fdb\u884c 7 \u5929\u7684\u8bad\u7ec3\uff0c\u800c\u8fd9\u91cc\u5f00\u53d1\u7684 BrainGPT \u6a21\u578b\u53ea\u9700\u8981\u5728\u4e24\u4e2a NVIDIA A100 GPU \u4e0a\u8fdb\u884c 12 \u5c0f\u65f6\u7684\u5fae\u8c03\u3002<\/p>\n

\u6b64\u5916\uff0cGoogle AI \u7684 Med-Gemini-3D \u53ef\u4ee5\u751f\u6210 3D CT \u62a5\u544a\uff0c\u4f46\u53ea\u6709 53% \u7684\u62a5\u544a\u5728\u4eba\u4f53\u8bc4\u4f30\u4e2d\u88ab\u8ba4\u4e3a\u5177\u6709\u4e34\u5e8a\u6709\u6548\u6027\u3002\u4f7f\u7528\u5927\u89c4\u6a21 Google TPUv4 \u52a0\u901f\u5668\u8231\u7684\u9ad8\u8ba1\u7b97\u6210\u672c\u4f7f\u5f97\u8fd9\u79cd\u65b9\u6cd5\u4e0d\u9002\u7528\u4e8e\u8d44\u6e90\u6709\u9650\u7684\u4e00\u822c\u7814\u7a76\u3002<\/p>\n

\u76f8\u6bd4\u4e4b\u4e0b\uff0cBrainGPT \u4f7f\u7528\u7aef\u5230\u7aef\u5f00\u6e90 Otter \u6846\u67b6\uff08CLIP ViT-L\/14 \u89c6\u89c9\u7f16\u7801\u5668\u548c LlaMA-7B\uff09\uff0c\u5141\u8bb8\u8fdb\u884c\u5b9e\u9a8c\u590d\u5236\u548c\u68c0\u67e5\u70b9\u5171\u4eab\u3002\u6b64\u5916\uff0cBrainGPT \u7684\u8bad\u7ec3\u6210\u672c\u964d\u4f4e\uff0c\u53ef\u4ee5\u5b9e\u73b0\u9ad8\u6548\u7684\u89c6\u89c9\u6307\u4ee4\u8c03\u6574\uff0c\u63d0\u9ad8\u6a21\u578b\u6027\u80fd\u5e76\u6839\u636e\u4e13\u4e1a\u6216\u98ce\u683c\u8981\u6c42\u5b9a\u5236\u54cd\u5e94\u3002<\/p>\n

<\/a><\/section>\n

\u56fe\u793a\uff1a\u91c7\u7528\u4e34\u5e8a\u89c6\u89c9\u6307\u4ee4\u8c03\u6574 (CVIT) \u4ece\u57fa\u7ebf Otter \u6a21\u578b\u5bf9 BrainGPT \u8fdb\u884c\u5fae\u8c03\u3002\uff08\u6765\u6e90\uff1a\u8bba\u6587\uff09<\/p>\n

\u867d\u7136\u8be5\u56e2\u961f\u6ca1\u6709\u4fee\u6539 Otter \u6a21\u578b\u7ed3\u6784\uff0c\u4f46\u4ed6\u4eec\u5c06 SOTA \u7ea7\u6027\u80fd\u5f52\u56e0\u4e8e RVIT \u548c CVIT \u7684\u7efc\u5408\u4f5c\u7528\u3002<\/p>\n

\u4e4b\u524d\uff0cSinghal \u56e2\u961f\u9996\u5148\u63a2\u7d22\u4e86\u533b\u5b66\u9886\u57df\u4e2d\u7279\u5b9a\u4e8e\u4efb\u52a1\u7684 RVIT\uff0c\u5e76\u62a5\u544a\u8bf4\uff0c\u804a\u5929\u673a\u5668\u4eba<\/mark>\u7684\u6027\u80fd\u968f\u7740\u533b\u5b66 QA \u4e0a\u4e0b\u6587\u793a\u4f8b\u542f\u52a8\u800c\u5f97\u5230\u6539\u5584\u3002\u540c\u6837\uff0cMed-PaLM M \u4f7f\u7528\u56fe\u50cf\u63d0\u793a\uff08CXR \u548c\u75c5\u7406\u5e7b\u706f\u7247\uff09\u4ee5\u53ca\u4e34\u5e8a\u6307\u5bfc\u6765\u6307\u5bfc MLLM \u5b8c\u6210\u591a\u6a21\u6001\u533b\u7597\u4efb\u52a1\u3002<\/p>\n

\u4e0e\u8fd9\u4e9b\u7814\u7a76\u76f8\u547c\u5e94\uff0c\u8fd9\u91cc\u7684 CVIT \u6a21\u578b\uff08BrainGPT \u6a21\u677f\u3001BrainGPT \u5173\u952e\u5b57\uff09\u5728\u8111 CT \u5b57\u5e55\u5236\u4f5c\u65b9\u9762\u7684\u8868\u73b0\u4f18\u4e8e RVIT \u6a21\u578b\u3002\u8fd9\u8868\u660e\uff0c\u7cbe\u7ec6\u7684\u4e13\u5bb6\u7ea7\u6307\u5bfc\u8bbe\u8ba1\u53ef\u80fd\u4f1a\u4f18\u5316\u4e34\u5e8a\u5b57\u5e55\u5236\u4f5c\u4efb\u52a1\u7684\u6a21\u578b\u7ed3\u679c\u3002<\/p>\n

<\/a><\/section>\n

\u56fe\u793a\uff1a\u901a\u8fc7\u533b\u751f\u53c2\u4e0e\u7684\u56fe\u7075\u6d4b\u8bd5<\/mark>\u8bc4\u4f30 BrainGPT \u62a5\u544a\u7684\u8bed\u8a00\u51c6\u5907\u60c5\u51b5\u3002\uff08\u6765\u6e90\uff1a\u8bba\u6587\uff09<\/p>\n

\u7814\u7a76\u4eba\u5458\u8fd8\u5f3a\u8c03\uff0c\u4f20\u7edf\u6307\u6807\u4e0d\u9002\u5408\u8bc4\u4f30\u4e34\u5e8a\u5b57\u5e55\u4efb\u52a1\u3002\u533b\u5b66\u56fe\u50cf\u62a5\u544a\u6709\u52a9\u4e8e\u9274\u522b\u8bca\u65ad\uff0c\u56e0\u6b64\u5177\u6709\u590d\u6742\u7684\u91ca\u4e49\u3001\u9ad8\u6807\u8bb0\u6570\uff08>100\uff09\u548c\u5927\u91cf\u8d1f\u9762\u63cf\u8ff0\u7684\u7279\u70b9\uff0c\u8fd9\u4e0e\u5e38\u89c1\u7684\u6307\u6807\u8bc4\u4f30\u80cc\u666f\u76f8\u51b2\u7a81\u3002<\/p>\n

\u4ed6\u4eec\u8fd8\u89c2\u5bdf\u5230\u4e00\u79cd\u300c\u89e3\u8bfb\u72c2\u6b22\u300d\u884c\u4e3a\uff0c\u5176\u4e2d BrainGPT \u4ece\u591a\u5bf9\u8c61\u8111 CT \u4e0a\u4e0b\u6587\u4e2d\u63d0\u4f9b\u8131\u9776\uff08\u4f46\u4e0d\u662f\u5e7b\u89c9\uff09\u8bca\u65ad\u53d9\u8ff0\u3002\u8fd9\u79cd\u884c\u4e3a\u662f\u6709\u5bb3\u7684\uff0c\u56e0\u4e3a (1) \u8131\u9776\u6548\u5e94\u53ef\u80fd\u4f1a\u6392\u9664\u539f\u53d1\u75be\u75c5\u7126\u70b9\uff08\u4f8b\u5982\u4e2d\u98ce\u6216\u8111\u80bf\u7624\uff09\uff0c\u4ee5\u53ca (2) \u6269\u5927\u53d9\u8ff0\u53ef\u80fd\u4f1a\u7a00\u91ca\u4f20\u7edf\u6307\u6807\uff0c\u5bfc\u81f4\u65e0\u6548\u8bc4\u4f30\u3002<\/p>\n

\u4e3a\u6b64\uff0cFORTE \u4f5c\u4e3a\u4e00\u4e2a\u8bc4\u4f30\u6846\u67b6\uff0c\u7531\u53e5\u5b50\u914d\u5bf9\u3001\u5426\u5b9a\u5220\u9664\u548c 4 \u7c7b\u5173\u952e\u8bcd\u63d0\u53d6\u7ec4\u6210\uff0c\u5b83\u53ef\u4ee5\u8fde\u8d2f\u5730\u9650\u5236\u6a21\u578b\u5e7b\u89c9\u3001\u589e\u5f3a\u89e3\u91ca\u6536\u655b<\/mark>\u6027\uff0c\u5e76\u4e3a\u533b\u7597\u4fdd\u5065\u63d0\u4f9b\u8005\u63d0\u4f9b\u5373\u65f6\u653e\u5c04\u5b66\u5370\u8c61\u3002<\/p>\n

\u7814\u7a76\u4eba\u5458\u5bf9\u4e0d\u540c\u7684\u8bc4\u4f30\u6307\u6807\u8fdb\u884c\u4e86\u76ae\u5c14\u900a\u76f8\u5173\u6027\u5206\u6790\uff0c\u5e76\u62a5\u544a\u79f0 FORTE \u65b9\u6cd5\u6bd4\u76f8\u5bf9\u5355\u4e00\u7684\u4f20\u7edf\u6307\u6807\u6db5\u76d6\u4e86\u66f4\u5e7f\u6cdb\u7684\u533b\u5b66\u8bed\u4e49\u7ef4\u5ea6\u3002\u5b83\u4e0e\u4eba\u7c7b\u4e13\u5bb6\u8bc4\u4f30\u548c DocLens \u8bc4\u5206\u7684\u76f8\u5173\u6027\u90fd\u8fbe\u5230\u4e2d\u7b49\u5230\u9ad8\u5ea6\uff0c\u8fdb\u4e00\u6b65\u8bc1\u660e\u4e86\u8fd9\u4e00\u70b9\u3002<\/p>\n

\u6b64\u5916\uff0cFORTE \u6846\u67b6\u662f\u53ef\u5b9a\u5236\u7684\uff0c\u53ef\u4ee5\u5728\u5404\u79cd\u533b\u7597\u4efb\u52a1\u4e4b\u95f4\u8f6c\u79fb\uff0c\u6ca1\u6709\u4efb\u4f55\u7126\u70b9\u9650\u5236\uff0c\u8be5\u56e2\u961f\u7684 GitHub \u9875\u9762\u4e0a\u63d0\u4f9b\u4e86\u53ef\u4e92\u6362\u7684\u5206\u7c7b\u5173\u952e\u5b57\u5e93\u4f5c\u4e3a\u5173\u952e\u5b57 JSON \u6587\u4ef6\uff0c\u5e76\u9488\u5bf9\u80f8\u90e8 X \u5149\u3001\u4f4e\u5242\u91cf\u8ba1\u7b97\u673a\u65ad\u5c42\u626b\u63cf (LDCT)\u3001\u8179\u90e8 CT \u548c\u8111\u90e8 CT \u4efb\u52a1\u5c55\u793a\u4e86\u4e00\u4e9b\u793a\u4f8b\u3002<\/p>\n

\u5728 FORTE \u6846\u67b6\u5185\uff0cBrainGPT \u53d6\u5f97\u4e86\u4ee4\u4eba\u79f0\u8d5e\u7684\u8868\u73b0\uff0cF1 \u5f97\u5206\u8fbe\u5230 0.589\uff0c\u4e0e\u4e00\u822c\u533b\u5b66\u75be\u75c5\u8bc6\u522b\u4e2d\u6700\u5148\u8fdb\u7684 (SOTA) \u6027\u80fd\u76f8\u5f53\uff0c\u5728\u5148\u524d\u7684\u57fa\u51c6<\/mark>\u7814\u7a76\u4e2d\u62a5\u544a\u7684\u51c6\u786e\u7387<\/mark>\u4e3a 59.2%\u3002<\/p>\n

\u81ea\u7136\u8bed\u8a00\u5904\u7406<\/mark>\u5b9e\u9a8c\u4e2d\u7684\u4eba\u7c7b\u4e13\u5bb6\u8bc4\u4f30\u662f\u5728\u4e0d\u540c\u7684\u5b9e\u9a8c\u8bbe\u8ba1\u4e0b\u8fdb\u884c\u7684\uff0c\u5e76\u4e14\u670d\u52a1\u4e8e\u4e0d\u540c\u7684\u7814\u7a76\u76ee\u7684\u3002\u56e0\u6b64\uff0c\u5728\u4e0d\u540c\u60c5\u51b5\u4e0b\uff0c\u5f97\u5230\u7684\u89c2\u70b9\u5f80\u5f80\u4e0d\u4e00\u81f4\u4e14\u4e0d\u53ef\u6bd4\u3002\u56e0\u6b64\uff0c\u76f8\u5173\u7814\u7a76\u91c7\u7528\u5b9a\u91cf\uff08\u5b8c\u6574\u6027\u3001\u6b63\u786e\u6027\u3001\u7b80\u6d01\u6027\uff09\u548c\u5b9a\u6027\uff08\u5185\u5bb9\u3001\u8bed\u8a00\u3001\u7ed3\u6784\uff09\u6d4b\u91cf\u6765\u5256\u6790\u533a\u5206\u5408\u6210\u4e34\u5e8a\u62a5\u544a\u548c\u4eba\u5de5\u62a5\u544a\u7684\u5f15\u4eba\u6ce8\u76ee\u7684\u7279\u5f81\u3002<\/p>\n

\u901a\u8fc7\u91c7\u7528\u5177\u6709\u5ba2\u89c2\u8bed\u8a00\u6807\u51c6\u7684\u7c7b\u4f3c\u8bbe\u8ba1\uff0c\u7814\u7a76\u4eba\u5458\u53d1\u73b0\u5ba1\u9605\u8005\u6210\u529f\u7387\u548c\u7b54\u6848\u4ea4\u66ff\u539f\u56e0\uff08\u300c\u53ef\u7591\u63aa\u8f9e\u300d\u548c\u300c\u90fd\u6ca1\u6709\u63d0\u5230\u5173\u952e\u7279\u5f81\u300d\uff09\u90fd\u4e0e\u5199\u4f5c\u98ce\u683c\uff08\u300c\u719f\u6089\u5ea6\u548c\u8bed\u6c14\u300d\u548c\u300c\u7ec6\u8282\u7684\u5177\u4f53\u6027\u6216\u6a21\u7cca\u6027\u300d\uff09\u6709\u5173\uff0c\u800c\u4e0d\u662f\u4e0e\u53e5\u5b50\u7ea7\u7684\u5199\u4f5c\u8d28\u91cf\u548c\u8fde\u8d2f\u6027\u6709\u5173\u3002\u4e00\u9879\u72ec\u7acb\u7684\u63d0\u793a\u7814\u7a76\u4e5f\u5f3a\u8c03\u4e86\u533b\u5b66\u62a5\u544a\u5199\u4f5c\u98ce\u683c\u7684\u91cd\u8981\u6027\u3002<\/p>\n

\u6709\u8da3\u7684\u662f\uff0c\u4ed6\u4eec\u89c2\u5bdf\u5230\u8f93\u5165\u6848\u4f8b\u4e0d\u5e73\u8861\u4f1a\u5f71\u54cd\u5b57\u5e55\u5199\u4f5c\u98ce\u683c\uff0c\u8fd9\u53ef\u80fd\u4e0e\u4e00\u822c\u6a21\u578b\u8bad\u7ec3\u671f\u95f4\u89c2\u5bdf\u5230\u7684\u8fc7\u5ea6\u62df\u5408\u6709\u5173\u3002<\/p>\n

\u5c40\u9650\u6027\u4e0e\u7ed3\u8bed<\/strong><\/p>\n

\u8be5\u7814\u7a76\u540c\u6837\u5b58\u5728\u51e0\u4e2a\u5c40\u9650\u6027\uff0c\u6216\u8bb8\u5728\u672a\u6765\u7684\u5de5\u4f5c\u4e2d\u52a0\u4ee5\u89e3\u51b3\u3002<\/p>\n

\u9996\u5148\uff0c\u8fd9\u662f\u4e00\u9879\u8bd5\u70b9\u4f53\u79ef\u8111 CT \u5b57\u5e55\u7814\u7a76\uff0c\u6ca1\u6709\u5bf9\u5e94\u7684 MLLM \u6a21\u5757\u8fdb\u884c\u57fa\u51c6<\/mark>\u6d4b\u8bd5\uff0c\u56e0\u6b64\u7814\u7a76\u4eba\u5458\u65e0\u6cd5\u8bc1\u660e SOTA \u7ea7\u522b\u7684\u6709\u6548\u6027\uff1b\u4f46\u662f\uff0c\u4ed6\u4eec\u5e94\u7528\u4e86\u5916\u90e8\u9a8c\u8bc1\u6765\u786e\u4fdd\u8111 CT \u6a21\u5757\u4e2d\u7684\u5b57\u5e55\u6709\u6548\u6027\u3002<\/p>\n

\u5176\u6b21\uff0cBrainGPT \u662f\u5728\u9000\u5316\u5bfc\u5411\u6570\u636e\u4e0a\u8fdb\u884c\u8bad\u7ec3\u7684\uff0c\u56e0\u6b64\u65e0\u6cd5\u6355\u6349 CQ500 \u4e2d\u7684\u6076\u6027\u80bf\u7624\u548c\u6025\u6027\u521b\u4f24\u7279\u5f81\u3002\u8fd9\u4e00\u73b0\u8c61\u53cd\u6620\u51fa\u8bad\u7ec3\u6750\u6599\u53ef\u80fd\u4f1a\u4e3a\u6700\u7ec8\u6a21\u5757\u7684\u7075\u6d3b\u6027\u6253\u4e0b\u57fa\u7840\u3002\u56e0\u6b64\uff0c\u56e2\u961f\u5efa\u8bae\u7eb3\u5165\u4e0d\u540c\u7684\u75be\u75c5\u75c5\u56e0\uff0c\u4ee5\u8fdb\u884c\u9274\u522b\u8bca\u65ad\uff0c\u4ece\u800c\u63d0\u9ad8 MLLM \u5bf9\u8fb9\u754c\u8111 CT \u7279\u5f81\u7684\u6982\u62ec\u3002<\/p>\n

\u6700\u540e\uff0c\u8be5\u56e2\u961f\u8fdb\u884c\u4e86 CVIT \u5e76\u53d1\u660e\u4e86\u9762\u5411\u4e34\u5e8a\u7684\u8bc4\u4f30\uff08\u53e5\u5b50\u914d\u5bf9\u3001\u5426\u5b9a\u6d88\u9664\u548c FORTE\uff09\uff0c\u4f46\u4ed6\u4eec\u6ca1\u6709\u8bd5\u9a8c\u6539\u53d8\u6a21\u578b\u4e3b\u5e72\u662f\u5426\u6709\u5229\u4e8e\u8111 CT \u6807\u8bb0\u3002\u672a\u6765\u7684\u7814\u7a76\u9014\u5f84\u53ef\u80fd\u662f\u6bd4\u8f83\u591a\u6a21\u578b\u7ed3\u679c\u5e76\u5fae\u8c03 CT \u7684\u89c6\u89c9\u7f16\u7801\u5668\u548c\u8bed\u8a00\u6a21\u578b<\/mark>\u3002<\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/www.nature.com\/articles\/s41467-025-57426-0<\/p>\n

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