Alternatives and similar repositories for fast-stain-normalization

Users that are interested in fast-stain-normalization are comparing it to the libraries listed below

• vqdang / H2T
  ☆37Updated 2 years ago
• DIAGNijmegen / pathology-hooknet
  ☆67Updated last year
• DIAGNijmegen / pathology-he-auto-augment
  H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.
  ☆57Updated 2 years ago
• KatherLab / HIA
  Histopathology Image Analysis
  ☆92Updated 2 years ago
• alexjfoote / reetoolbox
  Toolbox for measuring adversarial robustness to many transforms
  ☆19Updated 8 months ago
• wenqi006 / SlideGraph
  ☆57Updated 3 years ago
• YashSharma / C2C
  Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.
  ☆59Updated 4 years ago
• clemsgrs / hs2p
  Histopathology Slides Preprocessing Pipeline
  ☆42Updated last week
• cwlkr / torchvahadane
  Gpu accelerated vahadane stain normalization for Digital Pathology workflows.
  ☆25Updated last year
• lucasrla / wsi-preprocessing
  Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning
  ☆56Updated 2 years ago
• kevindehaan / stain-transformation
  ☆46Updated 4 years ago
• PathologyDataScience / NuCLS
  NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation
  ☆55Updated 3 years ago
• DIAGNijmegen / pathology-artifact-detection
  Quality control of whole-slide images through multi-class semantic segmentation of artifacts
  ☆38Updated last year
• DIAGNijmegen / pathology-whole-slide-data
  A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.
  ☆107Updated 2 months ago
• simongraham / hovernet_inference
  HoVer-Net inference code for simultaneous nuclear segmentation and classification
  ☆71Updated 3 years ago
• Xiyue-Wang / RetCCL
  ☆103Updated 2 years ago
• mahmoodlab / Patch-GCN
  Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021
  ☆161Updated last year
• yiqings / RandStainNA
  RandStainNA: Simple and efficient augmentations for histology [MICCAI 2022]
  ☆56Updated 3 years ago
• histocartography / hact-net
  ☆71Updated 4 years ago
• mahmoodlab / varpool
  Variance pooling to incorporate ITH in CPath models - MICCAI 2022
  ☆26Updated 3 years ago
• mahmoodlab / MIL-Lab
  Feather - Lightweight supervised slide foundation models (ICML 2025)
  ☆127Updated 2 weeks ago
• hrlblab / CS-MIL
  ☆55Updated 9 months ago
• KatherLab / end2end-WSI-preprocessing
  End-to-end pipeline to go from raw H&E slides to normalised extracted features for training
  ☆27Updated last year
• tand826 / wsiprocess
  Whole Slide Image (WSI) Processing Library for Histopathological / Cytopathological Machine Learning Tasks
  ☆25Updated 2 years ago
• MWod / DeeperHistReg
  DeeperHistReg - Source Code
  ☆85Updated last year
• pegahsalehi / Stain-to-Stain-Translation
  Pix2Pix-based Stain-to-Stain Translation: A Solution for Robust Stain Normalization in Histopathology Images Analysis
  ☆34Updated 6 years ago
• smujiang / Re-stained_WSIs_Registration
  Re-stained whole slide image alignment
  ☆36Updated 2 years ago
• mahmoodlab / MADELEINE
  MADELEINE: multi-stain slide representation learning (ECCV'24)
  ☆64Updated 10 months ago
• peng-lab / HistoBistro
  Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)
  ☆84Updated last year
• agentdr1 / LA_MIL
  Implementation of LA_MIL, Local Attention Graph-based Transformer for WSIs, PyTorch
  ☆24Updated 2 years ago