Prediction of 1p/19q Codeletion in Diffuse Glioma Patients Using Pre-operative Multiparametric Magnetic Resonance Imaging

Prediction of 1p/19q Codeletion in Diffuse Glioma Patients Using Pre-operative Multiparametric Magnetic Resonance Imaging

This study compared the predictive power and robustness of texture, topological, and convolutional neural network (CNN) based image features for measuring tumors in MRI. These features were used to predict 1p/19q codeletion in the MICCAI BRATS 2017 challenge dataset. Topological data analysis (TDA)...

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Bibliographic Details
Main Authors: Donnie Kim, Nicholas Wang, Viswesh Ravikumar, D. R. Raghuram, Jinju Li, Ankit Patel, Richard E. Wendt, Ganesh Rao, Arvind Rao
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-07-01
Series:Frontiers in Computational Neuroscience
Subjects:
multiparametric MRI
image perturbation
radiomic features
glioma
persistent homology
1p/19q codeletion
Online Access:https://www.frontiersin.org/article/10.3389/fncom.2019.00052/full

Internet

https://www.frontiersin.org/article/10.3389/fncom.2019.00052/full

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