Stain augmentation plus feature-consistency regularization improves cross-domain colorectal tissue classification from 65.4% to 87.8% accuracy, a 1% gain over the prior IMPaSh method.
and Lundström, C., 2020
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Stain-Invariant Representation for Tissue Classification in Histology Images
Stain augmentation plus feature-consistency regularization improves cross-domain colorectal tissue classification from 65.4% to 87.8% accuracy, a 1% gain over the prior IMPaSh method.