Automatic segmentation of cerebral infarcts in follow-up computed tomography images with convolutional neural networks.
Fiche publication
Date publication
décembre 2019
Journal
Journal of neurointerventional surgery
Auteurs
Membres identifiés du Cancéropôle Est :
Pr GUILLEMIN Francis
Tous les auteurs :
Sales Barros R, Tolhuisen ML, Boers AM, Jansen I, Ponomareva E, Dippel DWJ, van der Lugt A, van Oostenbrugge RJ, van Zwam WH, Berkhemer OA, Goyal M, Demchuk AM, Menon BK, Mitchell P, Hill MD, Jovin TG, Davalos A, Campbell BCV, Saver JL, Roos YBWEM, Muir KW, White P, Bracard S, Guillemin F, Olabarriaga SD, Majoie CBLM, Marquering HA
Lien Pubmed
Résumé
Infarct volume is a valuable outcome measure in treatment trials of acute ischemic stroke and is strongly associated with functional outcome. Its manual volumetric assessment is, however, too demanding to be implemented in clinical practice.
Mots clés
CT, stroke, technique, thrombectomy
Référence
J Neurointerv Surg. 2019 Dec 23;: