Unlocking the prognostic power of pathomics in bladder cancer: a machine learning odyssey across multiple centers

Abstract Bladder cancer (BCa) prognostication is pivotal for tailored clinical interventions. Using machine learning, this study assesses prognostic capabilities of H&E-stained BCa images. From 569 slides across The Cancer Genome Atlas, Sun Yat-sen Memorial Hospital, and Zhongshan City People’s Hosp...

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Detalhes bibliográficos

Principais autores:	Jianqiu Kong, Yi Huang, Yichun Xing, Shuogui Fang, Kaiwen Tan, Juanjuan Yong, Sha Fu, Yaqiang Huang, Chun Jiang, Xinxiang Fan
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2026-04-01
Colecção:	BMC Medical Imaging
Assuntos:	Bladder cancer Pathomics Prediction Prognosis
Acesso em linha:	https://doi.org/10.1186/s12880-026-02353-9
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