Staincut: stain normalization with contrastive learning

HIGHLIGHTS

• who: Josu00e9 Carlos Gutiu00e9rrez Pu00e9rez and colleagues from the Use Case: Semantic Segmentation of Metastasis in Lymph Nodes Our aim with this set of experiments is to evaluate the impact of using stain normalization in the context of semantic segmentation for the detection of breast cancer metastasis in lymph nodes. We trained a binary semantic segmentation model on WSIs from the , (https://camelyon16.grand-challenge.org/) (accessed on , July, ) dataset [30]. The WSIs come from two different medical centers in the Netherlands: Radboud University Medical Center (RUMC) and Utrecht University Medical Center (UMCU). An example of digitized . . .
  

   

  

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