Diagnostic performance of deep learning-based automatic white matter hyperintensity segmentation for classification of the Fazekas scale and differentiation of subcortical vascular dementia.
Leehi JooWoo Hyun ShimChong Hyun SuhSu Jin LimHwon HeoWoo Seok KimEunpyeong HongDongsoo LeeJinkyeong SungJae-Sung LimJae-Hong LeeSang Joon KimPublished in: PloS one (2022)
Deep learning-based automatic WMH segmentation may be an accurate and promising method for classifying the grades of the Fazekas scale and differentiating subcortical vascular dementia.