A weakly supervised deep learning-based method for glioma subtype classification using wsi and mpmris

HIGHLIGHTS

• who: Wei-Wen Hsu from the DepartmentNational Taiwan University of have published the research work: A weakly supervised deep learning-based method for glioma subtype classification using WSI and mpMRIs, in the Journal: Scientific Reports Scientific Reports
• what: The aim of the prototype approach is to measure the morphological similarities among all patches in each category for clustering and then select the representative patches from the major clusters. Since the glioma subtype of ground truth for each case in the testing set from the challenge of CPM-RadPath 2020 is not publicly available, in the . . .
  

   

  

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