m4ln / stainTransfer_CycleGAN_pytorch
Image-to-Image Translation in PyTorch
☆23Updated 11 months ago
Related projects: ⓘ
- ☆38Updated 2 years ago
- H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.☆52Updated last year
- GPU-accelerated stain normalization command line tool☆19Updated 11 months ago
- Python 3 library for the augmentation & normalization of H&E images☆50Updated 2 years ago
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation☆45Updated 2 years ago
- Toolbox for measuring adversarial robustness to many transforms☆19Updated last year
- ☆43Updated 2 years ago
- This repository includes the codes and descriptions to create a fully annotated dataset of nuclei from cryosectioned histological samples…☆33Updated last year
- This repository contains the implementation of TILAb-score as described in the original paper.☆17Updated 4 years ago
- Pipeline for computational pathology☆31Updated 8 months ago
- Interactive Segmentation of Nucleus☆60Updated last year
- A tutorial demonstration of pathml on an example dataset for the manuscript "PathML: A unified framework for WSI analysis with deep learn…☆21Updated 2 years ago
- Re-stained whole slide image alignment☆30Updated 11 months ago
- Pix2Pix-based Stain-to-Stain Translation: A Solution for Robust Stain Normalization in Histopathology Images Analysis☆32Updated 4 years ago
- Histopathology Image Analysis☆89Updated last year
- Pytorch implementation of Self Attentive Adversarial Stain Normalization (SAASN).☆13Updated last year
- Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.☆75Updated last year
- ☆15Updated 3 months ago
- Tool to visualize gigantic pathology images and use AI to segment cancer cells and present as an overlay☆65Updated 11 months ago
- ☆51Updated 5 months ago
- [TMI'2021][ISBI MoNuSAC'2020] 11th place solution to Multi-organ nuclei segmentation and classification challenge.☆28Updated 3 years ago
- Solid Tumor Associative Modeling in Pathology☆29Updated last month
- ☆49Updated 2 years ago
- Quality control of whole-slide images through multi-class semantic segmentation of artifacts☆27Updated 7 months ago
- ☆35Updated last year
- HoVer-Net inference code for simultaneous nuclear segmentation and classification☆63Updated last year
- A Python package for handling histopathology whole-slide images using multiple instance learning (MIL) techniques.☆26Updated 3 months ago
- ☆43Updated last year
- End-to-end pipeline to go from raw H&E slides to normalised extracted features for training☆22Updated 5 months ago
- Benchmarking toolkit for patch-based histopathology image classification.☆37Updated last year