DeepMicroscopy / SlideRunner
SlideRunner is a tool for massive cell annotations in whole slide images
☆78Updated last year
Alternatives and similar repositories for SlideRunner
Users that are interested in SlideRunner are comparing it to the libraries listed below
Sorting:
- A Python module that produces image patches and annotation masks from whole slide images for deep learning in digital pathology.☆78Updated 2 years ago
- Large-Scale Canine Cutaneous Mast Cell Tumor Dataset for Mitotic Figure Assessment on Whole Slide Images☆29Updated last year
- H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.☆54Updated 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
- Interactive Segmentation of Nucleus☆63Updated 2 years ago
- Tool to visualize gigantic pathology images and use AI to segment cancer cells and present as an overlay☆72Updated 4 months ago
- Full package for applying deep learning to virtual slides.☆68Updated 6 years ago
- Whole Slide Digital Pathology Image Tissue Localization☆44Updated last year
- Codes for Fast GPU-Enabled Color Normalization of Whole Slide Images in Digital Pathology☆75Updated 5 years ago
- Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medic…☆62Updated 3 years ago
- WSICS☆30Updated 6 years ago
- An open-source digital pathology based rapid image annotation tool☆77Updated this week
- Python 3 library for the augmentation & normalization of H&E images☆54Updated 2 years ago
- Pipeline for computational pathology☆35Updated last year
- Python package for dealing with whole slide images (.svs) for machine learning, particularly for fast prototyping. Includes patch samplin…☆160Updated 9 months ago
- This repository contains adaptations of the state-of-the-art deep learning based object detection models for the detection of cell nuclei…☆27Updated 2 years ago
- A pipeline to segment tissue from the background in histological images☆69Updated 2 years ago
- DLBCL-Morph dataset containing high resolution tissue microarray scans from 209 DLBCL cases, with geometric features computed using deep …☆36Updated 4 years ago
- A human in the loop solution to machine learning for pathologists (easy semantic segmentation of WSI)☆51Updated 4 years ago
- List of academic institutes/companies working on computer-based digital pathology image analysis☆40Updated 2 months ago
- Re-stained whole slide image alignment☆33Updated last year
- Digital Pathology Whole Slide Image Analysis Toolbox☆48Updated 2 years ago
- A tool for training machine-learning models with whole-slide imaging datasets☆24Updated last year
- ☆30Updated 5 years ago
- Python wrapper library for PMA.start, a universal viewier for whole slide imaging and microscopy☆30Updated 5 months ago
- Syntax - the arrangement of whole-slide-images and their image tiles to create well-formed computational pathology pipelines.☆55Updated 2 years ago
- A Girder plugin for pathology image annotations and analysis.☆70Updated this week
- Stain normalization tools for histological analysis and computational pathology☆140Updated 4 months ago
- An implementation of Unet for pytorch designed for digital pathology segmentation☆123Updated 2 years ago
- HoVer-Net inference code for simultaneous nuclear segmentation and classification☆67Updated 2 years ago