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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| Autors principals: | , , , , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BMC
2026-04-01
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| Col·lecció: | BMC Medical Imaging |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1186/s12880-026-02353-9 |
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