Original paper

A deep learning algorithm for white matter hyperintensity lesion detection and segmentation

Volume: 64, Issue: 4, Pages: 727 - 734
Published: Oct 2, 2021
Abstract
White matter hyperintensity (WMHI) lesions on MR images are an important indication of various types of brain diseases that involve inflammation and blood vessel abnormalities. Automated quantification of the WMHI can be valuable for the clinical management of patients, but existing automated software is often developed for a single type of disease and may not be applicable for clinical scans with thick slices and different scanning protocols....
Paper Details
Title
A deep learning algorithm for white matter hyperintensity lesion detection and segmentation
Published Date
Oct 2, 2021
Volume
64
Issue
4
Pages
727 - 734
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.