RandStainNA: Simple and efficient augmentations for histology [MICCAI 2022]
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Updated
Jan 11, 2023 - Python
RandStainNA: Simple and efficient augmentations for histology [MICCAI 2022]
GPU-accelerated Stain Normalization and Augmentation in PyTorch
Tricks based on stain variations for histology analysis
Implementation of the methods for modelling stain variation in a given dataset described in "StainStyleSampler: Clustering-based sampling of whole slide image appearances"
Whole Slide Image Stain Normalisation and Augmentation
I included 7 sample lung pathology images (Lung Adenocarcinoma, Squamos Cell Carcinoma, and Mesothelioma). Attached are folders containing each respective samples and specific normalization results.
GitHub repository for the augmentation described in "Clustering-based Stain Augmentation: Templates for Periodic Acid-Schiff Biopsy Images" [MICCAI / SASHIMI Workshop 2025].
stain augmentation method based on stainmix up using multiple known stain matrices.
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