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Updated: Jun 22, 2025

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乳腺癌的分子分类使用弱监督学习

Wooyoung Jang1, Jonghyun Lee2,3, Kyong Hwa Park4

  • 1Department of Pathology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea.

Cancer research and treatment
|June 28, 2024
PubMed
概括

使用全幻灯片图像的弱监督学习显示了对分类乳腺癌分子亚型的承诺. 这种人工智能方法有助于诊断,并可以减少病理学家的工作量.

关键词:
乳腺新生体的形成.计算病理学计算病理学分子分类的分子分类.缺乏监督的学习学习.

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