haranrk / DigiPathAILinks
Tool to visualize gigantic pathology images and use AI to segment cancer cells and present as an overlay
☆72Updated 6 months ago
Alternatives and similar repositories for DigiPathAI
Users that are interested in DigiPathAI are comparing it to the libraries listed below
Sorting:
- H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.☆55Updated 2 years ago
- HoVer-Net inference code for simultaneous nuclear segmentation and classification☆68Updated 2 years ago
- Interactive Segmentation of Nucleus☆63Updated 2 years ago
- A pipeline to segment tissue from the background in histological images☆69Updated 2 years ago
- HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images (ICCV 2019)☆93Updated 5 years ago
- Codes for Fast GPU-Enabled Color Normalization of Whole Slide Images in Digital Pathology☆75Updated 5 years ago
- Coincides with blogpost for using geojson and shapely☆32Updated 4 years ago
- Histopathology Image Analysis☆92Updated 2 years ago
- Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024☆139Updated 3 years ago
- Re-stained whole slide image alignment☆33Updated last year
- Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.☆79Updated 2 years ago
- ☆30Updated 5 years ago
- Whole Slide Digital Pathology Image Tissue Localization☆44Updated last year
- ⚡ Open-source software for deep learning-based digital pathology☆133Updated last year
- H&E histopathological staining normalization☆109Updated 5 years ago
- ☆62Updated 9 months ago
- A tutorial demonstration of pathml on an example dataset for the manuscript "PathML: A unified framework for WSI analysis with deep learn…☆24Updated 3 years ago
- ☆35Updated 2 years ago
- 🔬 Code-free deep segmentation for computational pathology☆53Updated last year
- A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.☆104Updated 7 months ago
- ☆45Updated 2 years ago
- Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning☆36Updated 4 years ago
- Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.☆61Updated 3 years ago
- ☆40Updated 3 years ago
- AI-based pathology predicts origins for cancers of unknown primary - Nature☆174Updated 3 years ago
- DeepLearning - Camelyon16 dataset☆122Updated 6 years ago
- This repository provides scripts to reproduce the results in the paper "An annotation-free whole-slide training approach to pathological …☆63Updated 3 years ago
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation☆54Updated 3 years ago
- Full package for applying deep learning to virtual slides.☆68Updated 6 years ago
- Some stain normalization code☆89Updated 2 years ago