Molecular Subtype Classification in Lower-Grade Glioma with Accelerated DTI

Published: Aug 14, 2019
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
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.