Fiche publication
Date publication
septembre 2025
Journal
Journal of gynecology obstetrics and human reproduction
Auteurs
Membres identifiés du Cancéropôle Est :
Pr MARESCAUX Jacques
Tous les auteurs :
Goetz-Fu M, Haller M, Collins T, Begusic N, Jochum F, Keeza Y, Uwineza J, Marescaux J, Weingertner AS, Sananès N, Hostettler A
Lien Pubmed
Résumé
The objective was to develop an artificial intelligence (AI)-based system, using deep neural network (DNN) technology, to automatically detect standard fetal planes during video capture, measure fetal biometry parameters and estimate fetal weight.
Mots clés
artificial intelligence, deep neural networks, fetal biometry, live measurements, medical sonography, supervised machine learning
Référence
J Gynecol Obstet Hum Reprod. 2025 09 22;:103039
