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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| Principais autores: | , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Nature Portfolio
2026-05-01
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| Series: | npj Digital Medicine |
| Acceso en liña: | https://doi.org/10.1038/s41746-026-02697-0 |
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