Multi-view convolutional neural networks for automated ocular structure and tumor segmentation in retinoblastoma
Abstract In retinoblastoma, accurate segmentation of ocular structure and tumor tissue is important when working towards personalized treatment. This retrospective study serves to evaluate the performance of multi-view convolutional neural networks (MV-CNNs) for automated eye and tumor segmentation...
Enregistré dans:
Auteurs principaux: | Victor I. J. Strijbis, Christiaan M. de Bloeme, Robin W. Jansen, Hamza Kebiri, Huu-Giao Nguyen, Marcus C. de Jong, Annette C. Moll, Merixtell Bach-Cuadra, Pim de Graaf, Martijn D. Steenwijk |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/64b6ff5d7bb04de6a7e9bf1f87dd6bd2 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Retinoblastoma
par: Marchevsky,Silvia, et autres
Publié: (1979) -
Discharge and infection in retinoblastoma post-enucleation sockets
par: Mourits DL, et autres
Publié: (2017) -
Prevalence of refractive errors in children with retinoblastoma
par: Villegas VM, et autres
Publié: (2019) -
Tylectomy Safety in Salvage of Eyes with Retinoblastoma
par: Junyang Zhao, et autres
Publié: (2021) -
Diffuse infiltrating retinoblastoma invading subarachnoid space
par: Kase S, et autres
Publié: (2011)