Specialized gray matter segmentation via a generative adversarial network: application on brain white matter hyperintensities classification

Specialized gray matter segmentation via a generative adversarial network: application on brain white matter hyperintensities classification

BackgroundWhite matter hyperintensities (WMH) observed in T2 fluid-attenuated inversion recovery (FLAIR) images have emerged as potential markers of neurodegenerative diseases like Multiple Sclerosis (MS). Lacking comprehensive automated WMH classification systems in current research, there is a nee...

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Bibliographic Details
Main Authors: Mahdi Bashiri Bawil, Mousa Shamsi, Abolhassan Shakeri Bavil, Sebelan Danishvar
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-09-01
Series:Frontiers in Neuroscience
Subjects:
gray matter segmentation
deep learning
conditional generative adversarial network
white matter hyperintensities
juxtacortical WMH
WMH classification
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2024.1416174/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2024.1416174/full

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