Detection and characterization of pancreatic lesion with artificial intelligence: The SFR 2023 artificial intelligence data challenge.
Fiche publication
Date publication
juillet 2024
Journal
Diagnostic and interventional imaging
Auteurs
Membres identifiés du Cancéropôle Est :
Pr HOEFFEL Christine
Tous les auteurs :
Aouad T, Laurent V, Levant P, Rode A, Brillat-Savarin N, Gaillot P, Hoeffel C, Frampas E, Barat M, Russo R, Wagner M, Zappa M, Ernst O, Delagnes A, Fillias Q, Dawi L, Savoye-Collet C, Copin P, Calame P, Reizine E, Luciani A, Bellin MF, Talbot H, Lassau N
Lien Pubmed
Résumé
The purpose of the 2023 SFR data challenge was to invite researchers to develop artificial intelligence (AI) models to identify the presence of a pancreatic mass and distinguish between benign and malignant pancreatic masses on abdominal computed tomography (CT) examinations.
Mots clés
Artificial intelligence, Computed tomography, Deep learning, Early detection of cancer, Pancreatic cancer
Référence
Diagn Interv Imaging. 2024 07 23;: