MultiPathGAN: Structure Preserving Stain Normalization using Unsupervised Multi-domain Adversarial Network with Perception Loss. (arXiv:2204.09782v2 [eess.IV] UPDATED)

Histopathology relies on the analysis of microscopic tissue images to
diagnose disease. A crucial part of tissue preparation is staining whereby a
dye is used to make the salient tissue components more distinguishable.
However, differences in laboratory protocols and scanning devices result in
significant confounding appearance variation in the corresponding images. This
variation increases both human error and the inter-rater variability, as well
as hinders the performance of automatic or semi-automatic methods. In the
present paper we introduce an unsupervised …

arxiv loss network normalization perception unsupervised