Accuracy of machine learning models for pre-diagnosis and diagnosis of pancreatic ductal adenocarcinoma in contrast-CT images: a systematic review and meta-analysis.

Purpose: To evaluate the diagnostic ability and methodological quality of ML models in detecting Pancreatic Ductal Adenocarcinoma (PDAC) in Contrast CT images. Method: Included studies assessed adults diagnosed with PDAC, confirmed by histopathology. Metrics of tests were interpreted by ML algorithm...

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Detalles Bibliográficos
Publicado en:Abdominal Radiology Vol. 50; no. 7; pp. 3199 - 3214
Autores principales: Lopes Costa, Geraldo Lucas, Tasca Petroski, Guido, Machado, Luis Guilherme, Eulalio Santos, Bruno, de Oliveira Ramos, Fernanda, Feuerschuette Neto, Leo Max, De Luca Canto, Graziela
Formato: Journal Article
Publicado: Springer Nature Jul2025
Acceso en línea:Ver este registro en EBSCOhost