Radiogenomics of lower-grade gliomas: machine learning-based MRI texture analysis for predicting 1p/19q codeletion status.

Objective: To evaluate the potential value of the machine learning (ML)-based MRI texture analysis for predicting 1p/19q codeletion status of lower-grade gliomas (LGG), using various state-of-the-art ML algorithms.Materials and Methods: For this retrospective study, 107 patients with LGG were includ...

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Bibliographic Details

Published in:	European Radiology Vol. 30; no. 2; pp. 877 - 887
Main Authors:	Kocak, Burak, Durmaz, Emine Sebnem, Ates, Ece, Sel, Ipek, Turgut Gunes, Saime, Kaya, Ozlem Korkmaz, Zeynalova, Amalya, Kilickesmez, Ozgur
Format:	Journal Article
Published:	Springer Nature Feb2020
Online Access:	View this record in EBSCOhost