Fully automated hybrid approach to predict the IDH mutation status of gliomas via deep learning and radiomics

BACKGROUND: Glioma prognosis depends on isocitrate dehydrogenase (IDH) mutation status. We aimed to predict the IDH status of gliomas from preoperative MR images using a fully automated hybrid approach with convolutional neural networks (CNNs) and radiomics. METHODS: We reviewed 1166 preoperative MR...

Description complète

Enregistré dans:
Détails bibliographiques
Publié dans:Neuro Oncol
Auteurs principaux: Choi, Yoon Seong, Bae, Sohi, Chang, Jong Hee, Kang, Seok-Gu, Kim, Se Hoon, Kim, Jinna, Rim, Tyler Hyungtaek, Choi, Seung Hong, Jain, Rajan, Lee, Seung-Koo
Format: Artigo
Langue:Inglês
Publié: Oxford University Press 2020
Sujets:
Neuroimaging
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7906063/
https://ncbi.nlm.nih.gov/pubmed/32706862
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/neuonc/noaa177
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires