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深度学习驱动的全幻灯片图像分析预测肌肉侵入性膀癌的化疗耐药性和运动性亚型

Il-San Jeong1,2,3, Jee-Woo Seo2,3, Seung-Jin Park2

  • 1Division of Bio & Medical Bigdata Department (Brain Korea 21 Four), Gyeongsang National University, 52828, Jinju, Republic of Korea.

Genes & genomics
|September 4, 2025
PubMed
概括

在整片图像 (WSIs) 上进行深度学习可以预测肌肉侵入性膀癌 (MIBC) 的化学抵抗亚型. 这种具有成本效益的方法分析组织学以确定亚型,有助于精确瘤学的患者分层.

关键词:
深度学习肌肉侵袭性膀癌补丁级预测瘤微环境整个幻灯片图像

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