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.
stain augmentation method based on stainmix up using multiple known stain matrices.
GitHub repository for the augmentation described in "Clustering-based Stain Augmentation: Templates for Periodic Acid-Schiff Biopsy Images" [MICCAI / SASHIMI Workshop 2025].
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