Automation of Wilms' tumor segmentation by artificial intelligence.
Fiche publication
Date publication
juillet 2024
Journal
Cancer imaging : the official publication of the International Cancer Imaging Society
Auteurs
Membres identifiés du Cancéropôle Est :
Dr HENRIET Julien, Dr CHAUSSY Yann, Pr AUBER Frédéric
Tous les auteurs :
Hild O, Berriet P, Nallet J, Salvi L, Lenoir M, Henriet J, Thiran JP, Auber F, Chaussy Y
Lien Pubmed
Résumé
3D reconstruction of Wilms' tumor provides several advantages but are not systematically performed because manual segmentation is extremely time-consuming. The objective of our study was to develop an artificial intelligence tool to automate the segmentation of tumors and kidneys in children.
Mots clés
3D reconstruction, Artificial intelligence, Deep learning, Segmentation, Wilms’ tumor
Référence
Cancer Imaging. 2024 07 2;24(1):83