Fiche publication
Date publication
février 2021
Journal
Japanese journal of radiology
Auteurs
Membres identifiés du Cancéropôle Est :
Pr HOEFFEL Christine
Tous les auteurs :
Barat M, Chassagnon G, Dohan A, Gaujoux S, Coriat R, Hoeffel C, Cassinotto C, Soyer P
Lien Pubmed
Résumé
The applications of artificial intelligence (AI), including machine learning and deep learning, in the field of pancreatic disease imaging are rapidly expanding. AI can be used for the detection of pancreatic ductal adenocarcinoma and other pancreatic tumors but also for pancreatic lesion characterization. In this review, the basic of radiomics, recent developments and current results of AI in the field of pancreatic tumors are presented. Limitations and future perspectives of AI are discussed.
Mots clés
Artificial intelligence, Pancreatic neoplasms, Radiomics, Texture analysis
Référence
Jpn J Radiol. 2021 Feb 6;:
