Diagnostic performance of deep learning-based automatic white matter hyperintensity segmentation for classification of the fazekas scale and differentiation of subcortical vascular dementia

HIGHLIGHTS

• who: Leehi Joo and collaborators from the Scientific Research Institute, ITALY , Department of Radiology, Korea University Guro Hospital, Seoul, Republic of Korea, Department of have published the paper: Diagnostic performance of deep learning-based automatic white matter hyperintensity segmentation for classification of the Fazekas scale and differentiation of subcortical vascular dementia, in the Journal: PLOS ONE of August/31,/2022
• what: The authors aimed to evaluate the diagnostic performance of a deep learning-based automatic WMH segmentation algorithm for classifying grades of the Fazekas scale and differentiating subcortical vascular dementia, which has not been evaluated . . .
  

   

  

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