Three artificial intelligence data challenges based on CT and MRI.
Fiche publication
Date publication
mars 2020
Journal
Diagnostic and interventional imaging
Auteurs
Membres identifiés du Cancéropôle Est :
Pr OHANA Mickaël
Tous les auteurs :
Lassau N, Bousaid I, Chouzenoux E, Lamarque JP, Charmettant B, Azoulay M, Cotton F, Khalil A, Lucidarme O, Pigneur F, Benaceur Y, Sadate A, Lederlin M, Laurent F, Chassagnon G, Ernst O, Ferreti G, Diascorn Y, Brillet PY, Creze M, Cassagnes L, Caramella C, Loubet A, Dallongeville A, Abassebay N, Ohana M, Banaste N, Cadi M, Behr J, Boussel L, Fournier L, Zins M, Beregi JP, Luciani A, Cotten A, Meder JF
Lien Pubmed
Résumé
The second edition of the artificial intelligence (AI) data challenge was organized by the French Society of Radiology with the aim to: (i), work on relevant public health issues; (ii), build large, multicentre, high quality databases; and (iii), include three-dimensional (3D) information and prognostic questions.
Mots clés
Artificial intelligence (AI), Computed tomography (CT), Deep learning, Machine learning, Magnetic resonance imaging (MRI)
Référence
Diagn Interv Imaging. 2020 Mar 31;: