Multimodal deep learning framework integrating multiphase CT and histopathological whole slide imaging for predicting recurrence in ccRCC

Abstract ccRCC is an aggressive, heterogeneous tumor with a poor prognosis. Prognostic assessments need multi-modal data. Radiological images have limits, while pathological images offer micro-level details. Integrating these for ccRCC outcome prediction is important. Our study aimed to develop and...

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מידע ביבליוגרפי

Principais autores:	Changyi Ma, Bao Feng, Yan Lei, Zhaole Yu, Yu Liu, Jin Cui, Rong-gang Li, Xiufang Huang, Baiming Wu, Zhixin Luo, Enming Cui
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Nature Portfolio 2025-11-01
סדרה:	Scientific Reports
נושאים:	Renal cell carcinoma Prognosis X-ray computed tomography Pathology Artificial intelligence
גישה מקוונת:	https://doi.org/10.1038/s41598-025-25109-x
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