Synthetic MR image generation of macrotrabecular-massive hepatocellular carcinoma using generative adversarial networks.

Date publication

janvier 2023

Journal

Diagnostic and interventional imaging

Auteurs

Membres identifiés du Cancéropôle Est :
Pr HOEFFEL Christine

Tous les auteurs :
Couteaux V, Zhang C, Mulé S, Milot L, Valette PJ, Raynaud C, Vlachomitrou AS, Ciofolo-Veit C, Lawrance L, Belkouchi Y, Vilgrain V, Lewin M, Trillaud H, Hoeffel C, Laurent V, Ammari S, Morand E, Faucoz O, Tenenhaus A, Talbot H, Luciani A, Lassau N, Lazarus C

Lien Pubmed

https://www.ncbi.nlm.nih.gov/pubmed/36681532

Résumé

The purpose of this study was to develop a method for generating synthetic MR images of macrotrabecular-massive hepatocellular carcinoma (MTM-HCC).

Mots clés

Artificial intelligence, Data augmentation, Generative adversarial networks, Hepatocellular carcinoma, Magnetic resonance imaging

Référence

Diagn Interv Imaging. 2023 01 19;: