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
Alternatives and similar repositories for whole-slide-cnn:
Users that are interested in whole-slide-cnn are comparing it to the libraries listed below
- H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.☆52Updated last year
- A pipeline to segment tissue from the background in histological images☆67Updated last year
- Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.☆75Updated 2 years ago
- HoVer-Net inference code for simultaneous nuclear segmentation and classification☆66Updated 2 years ago
- Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning☆51Updated last year
- Histopathology Image Analysis☆93Updated last year
- Interactive Segmentation of Nucleus☆61Updated 2 years ago
- Python 3 library for the augmentation & normalization of H&E images☆51Updated 2 years ago
- Tool to visualize gigantic pathology images and use AI to segment cancer cells and present as an overlay☆67Updated this week
- ☆56Updated 3 months ago
- Some stain normalization code☆85Updated 2 years ago
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation☆49Updated 2 years ago
- A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.☆96Updated last month
- Pipeline for computational pathology☆34Updated last year
- Pretrained model for self supervised histopathology☆110Updated 2 years ago
- ☆40Updated 3 years ago
- Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024☆129Updated 3 years ago
- StainNet: a fast and robust stain normalization network☆47Updated 3 years ago
- Benchmarking toolkit for patch-based histopathology image classification.☆38Updated last year
- ☆52Updated 3 years ago
- Re-stained whole slide image alignment☆32Updated last year
- One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification☆80Updated last month
- Codes for Fast GPU-Enabled Color Normalization of Whole Slide Images in Digital Pathology☆75Updated 4 years ago
- Histopathology Slides Preprocessing Pipeline☆36Updated last month
- A Python package for handling histopathology whole-slide images using multiple instance learning (MIL) techniques.☆28Updated 7 months ago
- Stain normalization tools for histological analysis and computational pathology☆125Updated this week
- This library is designed to speed up huge model training on unified memory.☆27Updated 3 years ago
- Quality control of whole-slide images through multi-class semantic segmentation of artifacts☆30Updated 11 months ago
- Histology Self-Supervised Learning☆12Updated 2 years ago
- Image filters for digital pathology: detect pen marks, background, and artifacts. Use them for preprocessing towards deep learning☆27Updated 4 years ago