Segment white matter hyperintensity with deep learning

 
   Lead Investigator:    Xuxian Wang
   Institution      :    Beijing University
   E-Mail           :     
   Proposal ID      :    1263



   Proposal Description:
   We try to segment white matter hyperintensities (WMH) with deep fully convolutional network. Many WMH segmentation techniques use a classifier in combination with a set of intensity and location features to segment WMHs, however, these traditional machine learning techniques need extracting features by manual. We want to use fully convolutional network to address this segmentation issue.