Deep learning-based approach to the characterization and quantification of histopathology in mouse models of colitis

HIGHLIGHTS

• who: Soma Kobayashi et al. from the Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, United States of America have published the paper: Deep learning-based approach to the characterization and quantification of histopathology in mouse models of colitis, in the Journal: PLOS ONE of August/11,/2022
• what: The authors incorporated CNNs in a pipeline that quantifies patch-level histological findings to characterize murine colon WSIs. Although not utilized to train the model , the authors provide WSIs of additional biologic controls (5C-Klf5ΔIND/+ and 5T-Klf5ΔIND/+) for the combined induction . . .
  

   

  

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