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Article

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

Neuro-oncology - 25 Feb 2021

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

Abstract excerpt

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 images of gliomas (grades II-IV) from Severance Hospital (n = 856), Seoul National University Hospital (SNUH; n =...

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Identifiers

PMID: 32706862
DOI: 10.1093/neuonc/noaa177
PMCID: PMC7906063

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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