神经损伤与功能重建2026，Vol.21Issue(2)：P.F0003-F0003,1.DOI:10.16780/j.cnki.sjssgncj.202602014
零样本多模态大语言模型 vs. 监督式深度学习: 一项基于CT的颅内出血分型对比分析
Yinuo Wang 1Kai Chen 2Yue Zeng 1Cai Meng 1Chao Pan 3Zhouping Tang 3唐颖馨(编译)4
作者信息
- 1. Image Processing Center,Beihang University,Beijing 100191,China
- 2. School of Mechanical Engineering and Automation,Beihang University,Beijing 100191,China
- 3. Department of Neurology,Tongji Hospital,Tongji Medical College,Huazhong University of Science and Technology,Wuhan 430030,China
- 折叠
摘要
关键词
颅内出血亚型/多模态大语言模型/医学图像分类/验证分类
医药卫生引用本文复制引用
Yinuo Wang,Kai Chen,Yue Zeng,Cai Meng,Chao Pan,Zhouping Tang,唐颖馨(编译)..零样本多模态大语言模型 vs. 监督式深度学习: 一项基于CT的颅内出血分型对比分析[J].神经损伤与功能重建,2026,21(2):P.F0003-F0003,1.
