Comprehensive Genomic Subtyping of Glioma Using Semi-Supervised Multi-Task Deep Learning on Multimodal MRI

Comprehensive Genomic Subtyping of Glioma Using Semi-Supervised Multi-Task Deep Learning on Multimodal MRI

High grade glioma (HGG) are the most common, highly infiltrative brain tumors usually with a grim outcome with low survival. Recent comprehensive genomic profiling has greatly elucidated the molecular markers in gliomas that include the mutations in isocitrate dehydrogenase (IDH), 1p/19q co-deletion...

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Bibliographic Details
Main Authors: Priyanka Tupe-Waghmare, Piyush Malpure, Ketan Kotecha, Manish Beniwal, Vani Santosh, Jitender Saini, Madhura Ingalhalikar
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Autoencoder
deep learning
glioma
machine learning
MRI
molecular markers
Online Access:https://ieeexplore.ieee.org/document/9654221/

Internet

https://ieeexplore.ieee.org/document/9654221/

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