Predicción preoperatoria de metástasis de ganglios linfáticos y pronóstico en pacientes con cáncer gástrico: un modelo de aprendizaje automático basado en parámetros metabólicos 18F-FDG
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Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
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1Department of Nuclear Medicine, Clinical College of School of Fujian Medical University, Fujian Cancer Hospital, NHC Key Laboratory of Cancer Metabolism, Fuzhou 350014, China.
Revista espanola de medicina nuclear e imagen molecular
|January 4, 2026
Resumen
No abstract available in PubMed .
Palabras clave:
Aprendizaje automáticoCáncer gástricoCáncer gástricoMetástasis en los ganglios linfáticosAprendizaje automáticoMetástasis en los ganglios linfáticosEl modelo predictivoPET y TCModelo de predicciónMás Videos Relacionados
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