stain-normalization

Computational Pathology Toolbox developed by TIA Centre, University of Warwick.

Stain normalization tools for histological analysis and computational pathology

RandStainNA: Simple and efficient augmentations for histology [MICCAI 2022]

StainNet: a fast and robust stain normalization network

GPU-accelerated Stain Normalization and Augmentation in PyTorch

adaptive color deconvolution for paper "Zheng et al., CMPB, 2019"

Gpu accelerated vahadane stain normalization for Digital Pathology workflows.

🌟 GPU-accelerated stain normalization command line tool

Enhanced stain normalization for histopathology images with batch processing support. Optimized for CPU, GPU (CUDA), and MPS (Apple Silicon) devices.

Pytorch implementation of Self Attentive Adversarial Stain Normalization (SAASN).

ParamNet: a parameter-variable network for fast stain normalization

The code for stain standardization capsule

This repo contains source code for the paper: "Evaluating the Effectiveness of Stain Normalization Techniques in Automated Grading of Invasive Ductal Carcinoma Histopathological Images?"

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"

A command-line pipeline for running and comparing stain-normalization methods on histology (H&E) images.

Code associated with engineering thesis "Learning-Based Staining Normalization for Improving Registration of Histology Images"

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.

Computational pathology research framework for PCam/PANDA MIL benchmarks, TransnnMIL, PathologyFL federated simulations, FAIR-WEIGHTS-H, and dominant-site site-signal alignment studies. Research-only; not clinical software.