Deep Learning for the Automatic Quantification of Pleural Plaques in Asbestos-Exposed Subjects.
Fiche publication
Date publication
janvier 2022
Journal
International journal of environmental research and public health
Auteurs
Membres identifiés du Cancéropôle Est :
Dr THAON Isabelle
Tous les auteurs :
Benlala I, De Senneville BD, Dournes G, Menant M, Gramond C, Thaon I, Clin B, Brochard P, Gislard A, Andujar P, Chammings S, Gallet J, Lacourt A, Delva F, Paris C, Ferretti G, Pairon JC, Laurent F
Lien Pubmed
Résumé
This study aimed to develop and validate an automated artificial intelligence (AI)-driven quantification of pleural plaques in a population of retired workers previously occupationally exposed to asbestos.
Mots clés
artificial intelligence, asbestos exposure, pleural plaques
Référence
Int J Environ Res Public Health. 2022 Jan 27;19(3):