Multimodal deep learning model for multiclass classification of renal tumors

Abstract Accurate classification of renal masses before treatment is crucial for therapeutic decision-making and patient outcome. This study developed and validated Multi-Phase Attention Network (MPANet), a multimodal deep learning model integrating multiphase contrast-enhanced CT and clinical infor...

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Autors principals:	Shiwei Luo, Quan Quan, Ruimeng Yang, Cong Li, Jiaqi Yao, Fei Tang, Yisong Wang, Kevin S. Zhou, Jun Liu
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2026-05-01
Col·lecció:	npj Digital Medicine
Accés en línia:	https://doi.org/10.1038/s41746-026-02697-0
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