DIAGNijmegen / pathology-he-auto-augment
H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.
☆54Updated last year
Alternatives and similar repositories for pathology-he-auto-augment:
Users that are interested in pathology-he-auto-augment are comparing it to the libraries listed below
- ☆57Updated 7 months ago
- Histopathology Image Analysis☆93Updated last year
- ☆35Updated 2 years ago
- Python 3 library for the augmentation & normalization of H&E images☆54Updated 2 years ago
- Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning☆52Updated last year
- Interactive Segmentation of Nucleus☆63Updated 2 years ago
- Some stain normalization code☆88Updated 2 years ago
- HoVer-Net inference code for simultaneous nuclear segmentation and classification☆67Updated 2 years ago
- Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.☆61Updated 3 years ago
- ☆53Updated 3 years ago
- Toolbox for measuring adversarial robustness to many transforms☆19Updated 2 years ago
- Quality control of whole-slide images through multi-class semantic segmentation of artifacts☆30Updated last year
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation☆54Updated 3 years ago
- GPU-accelerated stain normalization command line tool☆19Updated last year
- Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.☆79Updated 2 years ago
- Deep learning enabled assessment of cardiac allograft rejection from endomyocardial biopsies- Nature Medicine☆31Updated 2 years ago
- This repository contains the implementation of TILAb-score as described in the original paper.☆18Updated 5 years ago
- Interpretable Gland-Graph Networks☆21Updated last year
- Pix2Pix-based Stain-to-Stain Translation: A Solution for Robust Stain Normalization in Histopathology Images Analysis☆33Updated 5 years ago
- A Python package for handling histopathology whole-slide images using multiple instance learning (MIL) techniques.☆29Updated 11 months ago
- Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024☆133Updated 3 years ago
- Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification | https://arxiv.org/abs/2105.02726☆25Updated 3 years ago
- Tool to visualize gigantic pathology images and use AI to segment cancer cells and present as an overlay☆71Updated 3 months ago
- Gpu accelerated vahadane stain normalization for Digital Pathology workflows.☆25Updated last year
- Pytorch implementation of Self Attentive Adversarial Stain Normalization (SAASN).☆14Updated 2 years ago
- MICCAI2020. "Multiple Instance Learning with Center Embeddings for Histopathology Image Classification"☆38Updated 4 years ago
- ☆44Updated 2 years ago
- StainNet: a fast and robust stain normalization network☆46Updated 3 years ago
- Pipeline for computational pathology☆34Updated last year
- One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification☆88Updated 4 months ago