sophiajw / HistAuGANLinks
☆43Updated 3 years ago
Alternatives and similar repositories for HistAuGAN
Users that are interested in HistAuGAN are comparing it to the libraries listed below
Sorting:
- H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.☆57Updated 2 years ago
- Pix2Pix-based Stain-to-Stain Translation: A Solution for Robust Stain Normalization in Histopathology Images Analysis☆34Updated 5 years ago
- ☆46Updated 3 years ago
- Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.☆79Updated 2 years ago
- One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification☆97Updated 11 months ago
- CoNIC Challenge☆69Updated last year
- Interactive Segmentation of Nucleus☆66Updated 2 years ago
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation☆55Updated 3 years ago
- Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.☆60Updated 4 years ago
- Python 3 library for the augmentation & normalization of H&E images☆61Updated 3 years ago
- Region-guided CycleGANs for stain transfer☆19Updated 2 years ago
- Repository for "Gigapixel Whole-Slide Images Classification using Locally Supervised Learning" (MICCAI 2022)☆28Updated 3 years ago
- ☆66Updated last year
- Benchmarking toolkit for patch-based histopathology image classification.☆42Updated 2 years ago
- StainNet: a fast and robust stain normalization network☆50Updated 3 years ago
- Pipeline for computational pathology☆38Updated last year
- Toolbox for measuring adversarial robustness to many transforms☆19Updated 6 months ago
- GPU-accelerated stain normalization command line tool☆23Updated 2 years ago
- Official code for the paper "A Good Feature Extractor Is All You Need for Weakly Supervised Pathology Slide Classification"☆18Updated last year
- Tool to visualize gigantic pathology images and use AI to segment cancer cells and present as an overlay☆74Updated 10 months ago
- Quality control of whole-slide images through multi-class semantic segmentation of artifacts☆38Updated last year
- RandStainNA: Simple and efficient augmentations for histology [MICCAI 2022]☆55Updated 2 years ago
- Histopathology Image Analysis☆92Updated 2 years ago
- Official repository of Benchmarking Self-Supervised Learning on Diverse Pathology Datasets☆92Updated 2 years ago
- Evaluation code for the PanNuke dataset☆28Updated 5 years ago
- Instance-based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image-MICCAI 2021☆16Updated last year
- Image-to-Image Translation in PyTorch☆23Updated 2 years ago
- Code from Foersch et al. (Under Construction / Development)☆37Updated 2 years ago
- ☆17Updated 3 years ago
- Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024☆141Updated 4 years ago