aetherAI / whole-slide-cnn
This repository provides scripts to reproduce the results in the paper "An annotation-free whole-slide training approach to pathological classification of lung cancer types by deep learning".
☆62Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for whole-slide-cnn
- Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.☆75Updated last year
- Tool to visualize gigantic pathology images and use AI to segment cancer cells and present as an overlay☆65Updated last year
- Interactive Segmentation of Nucleus☆61Updated 2 years ago
- Histopathology Image Analysis☆91Updated last year
- H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.☆52Updated last year
- Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024☆127Updated 3 years ago
- Image-to-Image Translation in PyTorch☆23Updated last year
- A pipeline to segment tissue from the background in histological images☆66Updated last year
- ☆53Updated 2 months ago
- Pretrained model for self supervised histopathology☆109Updated 2 years ago
- Re-stained whole slide image alignment☆31Updated last year
- Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.☆61Updated 3 years ago
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation☆46Updated 2 years ago
- HoVer-Net inference code for simultaneous nuclear segmentation and classification☆67Updated 2 years ago
- ☆40Updated 2 years ago
- ☆49Updated 2 years ago
- Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning☆49Updated last year
- Python 3 library for the augmentation & normalization of H&E images☆51Updated 2 years ago
- This library is designed to speed up huge model training on unified memory.☆27Updated 3 years ago
- A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.☆93Updated this week
- Stain normalization tools for histological analysis and computational pathology☆118Updated 7 months ago
- Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021☆127Updated 6 months ago
- Histopathology Slides Preprocessing Pipeline☆32Updated 2 months ago
- StainNet: a fast and robust stain normalization network☆47Updated 3 years ago
- Some stain normalization code☆85Updated 2 years ago
- 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
- H&E histopathological staining normalization☆104Updated 4 years ago
- ☆30Updated 4 years ago
- Pytorch implementation of Self Attentive Adversarial Stain Normalization (SAASN).☆13Updated last year
- Quality control of whole-slide images through multi-class semantic segmentation of artifacts☆28Updated 10 months ago