Stain variations often decrease the generalization ability of deep learning based approaches in digital histopathology analysis. Two separate proposals, namely stain normalization (SN) and augmentation (SA), have been spotlighted to reduce error, where former alleviates shift across different medical centers using template image latter enriches accessible styles by simulation more variations. H...