DIAGNijmegen / pathology-he-auto-augment
H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.
☆52Updated 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 4 months ago
- Python 3 library for the augmentation & normalization of H&E images☆52Updated 2 years ago
- Interactive Segmentation of Nucleus☆61Updated 2 years ago
- Pipeline for computational pathology☆34Updated last year
- HoVer-Net inference code for simultaneous nuclear segmentation and classification☆66Updated 2 years ago
- ☆36Updated 2 years ago
- Some stain normalization code☆86Updated 2 years ago
- Quality control of whole-slide images through multi-class semantic segmentation of artifacts☆30Updated last year
- Toolbox for measuring adversarial robustness to many transforms☆19Updated 2 years ago
- Histopathology Image Analysis☆93Updated last year
- Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.☆60Updated 3 years ago
- ☆52Updated 3 years ago
- Tool to visualize gigantic pathology images and use AI to segment cancer cells and present as an overlay☆67Updated last month
- One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification☆80Updated 2 months ago
- Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.☆77Updated 2 years ago
- ☆44Updated 2 years ago
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation☆51Updated 2 years ago
- Interpretable Gland-Graph Networks☆20Updated 11 months ago
- A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.☆96Updated 2 months ago
- Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning☆52Updated last year
- Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification | https://arxiv.org/abs/2105.02726☆26Updated 3 years ago
- Pix2Pix-based Stain-to-Stain Translation: A Solution for Robust Stain Normalization in Histopathology Images Analysis☆33Updated 5 years ago
- Deep learning enabled assessment of cardiac allograft rejection from endomyocardial biopsies- Nature Medicine☆30Updated 2 years ago
- Stain normalization tools for histological analysis and computational pathology☆128Updated last month
- GPU-accelerated stain normalization command line tool☆19Updated last year
- MICCAI2020. "Multiple Instance Learning with Center Embeddings for Histopathology Image Classification"☆37Updated 4 years ago
- Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medic…☆62Updated 2 years ago
- Gpu accelerated vahadane stain normalization for Digital Pathology workflows.☆23Updated 11 months ago
- CoNIC Challenge☆63Updated last year
- StainNet: a fast and robust stain normalization network☆47Updated 3 years ago