亚型
H&E染色
病理
医学
肺癌
危险分层
曙红
人工智能
计算机科学
内科学
染色
程序设计语言
作者
Yibo Zhang,Shilong Liu,Jun Chen,Ruanqi Chen,Zijian Yang,Rubin Sheng,Xin Li,T Wang,Hong Yu Liu,Fan Yang,Jianming Ying,Lin Yang,Jie Sun,Meng Zhou
出处
期刊:Genome Medicine
[BioMed Central]
日期:2025-09-02
卷期号:17 (1): 98-98
被引量:5
标识
DOI:10.1186/s13073-025-01526-5
摘要
This study demonstrates the potential of a deep learning-based histomorphological subtyping system to improve patient stratification and prognosis prediction in SCLC. The HIPOS offers a promising and clinically applicable tool for personalized management using routine H&E-stained WSIs.
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