SarderLab / H-AI-LLinks
A human in the loop solution to machine learning for pathologists (easy semantic segmentation of WSI)
☆51Updated 5 years ago
Alternatives and similar repositories for H-AI-L
Users that are interested in H-AI-L are comparing it to the libraries listed below
Sorting:
- Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.☆79Updated 2 years ago
- A Python module that produces image patches and annotation masks from whole slide images for deep learning in digital pathology.☆80Updated 3 years ago
- Whole Slide Digital Pathology Image Tissue Localization☆45Updated last year
- HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images (ICCV 2019)☆94Updated 5 years ago
- Survival Convolutional Neural Networks☆68Updated 2 years ago
- Syntax - the arrangement of whole-slide-images and their image tiles to create well-formed computational pathology pipelines.☆55Updated 2 years ago
- Interactive Segmentation of Nucleus☆66Updated 2 years ago
- Codes for Fast GPU-Enabled Color Normalization of Whole Slide Images in Digital Pathology☆76Updated 5 years ago
- ☆30Updated 5 years ago
- Tool to visualize gigantic pathology images and use AI to segment cancer cells and present as an overlay☆73Updated 8 months ago
- SlideRunner is a tool for massive cell annotations in whole slide images☆79Updated last month
- Python scripts for automatic Whole-Slide Image preprocessing.☆36Updated 4 years ago
- A biologically interpretable integrative deep learning model that integrates PAthological images and GEnomic data☆18Updated 5 years ago
- An open-source digital pathology based rapid image annotation tool☆83Updated this week
- Dataset: landmarks for registration of histology images☆33Updated 4 years ago
- CNN based segmentation codes☆47Updated 2 years ago
- This repository contains the implementation of TILAb-score as described in the original paper.☆18Updated 5 years ago
- 🔬 Code-free deep segmentation for computational pathology☆56Updated last year
- AI-based pathology predicts origins for cancers of unknown primary - Nature☆174Updated 3 years ago
- List of academic institutes/companies working on computer-based digital pathology image analysis☆43Updated last month
- DLBCL-Morph dataset containing high resolution tissue microarray scans from 209 DLBCL cases, with geometric features computed using deep …☆38Updated 4 years ago
- Corresponding code of 'Quiros A.C., Murray-Smith R., Yuan K. Pathology GAN: Learning deep representations of cancer tissue. Proceedings o…☆98Updated 4 years ago
- A set of codes to classify H&E slides using deep learning☆30Updated 3 years ago
- ⚡ Open-source software for deep learning-based digital pathology☆137Updated last year
- An implementation of Unet for pytorch designed for digital pathology segmentation☆125Updated 3 years ago
- H&E histopathological staining normalization☆109Updated 5 years ago
- Digital Pathology Whole Slide Image Analysis Toolbox☆50Updated 2 years ago
- Topological Feature Extraction on Whole Slide Images using Graph Neural Networks.☆23Updated 5 years ago
- This repository contains the code necessary in order to reproduce the work contained in the submitted paper: "Segmentation of Nuclei in H…☆53Updated 5 years ago
- Data and code to accompany our Nature publication☆46Updated 3 years ago