Molecular Subtype Classification in Lower-Grade Glioma with Accelerated DTI
Abstract
BACKGROUND AND PURPOSE:
Image-based classification of lower-grade glioma molecular subtypes has substantial prognostic value. Diffusion tensor imaging has shown promise in lower-grade glioma subtyping but currently requires lengthy, nonstandard acquisitions. Our goal was to investigate lower-grade glioma classification using a machine learning technique that estimates fractional anisotropy from accelerated diffusion MR imaging scans...Paper Details
Title
Molecular Subtype Classification in Lower-Grade Glioma with Accelerated DTI
Published Date
Aug 14, 2019
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