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Modelo interpretable basado en imágenes de resonancia magnética multisecuencia para predecir los grados patológicos
Yue Shi1, Peng Zhang1, Li Li2
1Department of Radiology, Interventional Medical Center, Science and Technology Innovation Center, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, Sichuan Province, China.
World journal of radiology
|January 2, 2026
Resumen
No abstract available in PubMed .
Palabras clave:
Carcinoma hepatocelularLos marcadores inflamatoriosAprendizaje automáticoImágenes por resonancia magnéticaClasificación patológicaModelo radiómicoAlgoritmos de extensiones aditivas de SHapleyMás Videos Relacionados
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