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Updated: Feb 6, 2026

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排名意识的多个实例学习对组织病理学幻灯片分类:开发和验证研究研究

Ho Heon Kim1,2, Gisu Hwang1, Won Chan Jeong1

  • 1AI R&D Center, Seegene Medical Foundation, Seoul, Republic of Korea.

JMIR medical informatics
|February 4, 2026
PubMed
概括

排名诱导,一种新的多实例学习 (MIL) 框架,有效地使用部分专家注释来改善数字病理学的幻灯片级分类. 这种方法在具有有限或粗略注释的现实场景中表现出稳健性.

关键词:
数据效率培训数据效率培训数字病理学数字病理学学习如何排名的排名.混合监管 混合监管是指混合监管.多个实例的学习学习多个实例的学习.缺乏监督的学习学习.整个幻灯片图像 整体幻灯片图像

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