Class-agnostic weighted normalization of staining in histopathology images using a spatially constrained mixture model

HIGHLIGHTS

• who: Manuscript received December and colleagues from the Medical Image Analysis (Kimia Laboratory), University of Waterloo have published the research: Class-Agnostic Weighted Normalization of Staining in Histopathology Images Using a Spatially Constrained Mixture Model, in the Journal: (JOURNAL) of 11,/Nov/2020
• what: The authors aim to cover the definition of the mixture of multivariate skew-normal models used for pixel clustering and parameter estimation, alongside the stain transformation algorithm utilized for characteristics alignment between the source and target images. As a result, the introduction of the spatial information into the models, proposed in . . .
  

   

  

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