jgamper / compay-syntaxLinks
Syntax - the arrangement of whole-slide-images and their image tiles to create well-formed computational pathology pipelines.
☆55Updated 3 years ago
Alternatives and similar repositories for compay-syntax
Users that are interested in compay-syntax are comparing it to the libraries listed below
Sorting:
- This repository contains the implementation of TILAb-score as described in the original paper.☆18Updated 6 years ago
- Python package for dealing with whole slide images (.svs) for machine learning, particularly for fast prototyping. Includes patch samplin…☆164Updated last year
- Whole Slide Digital Pathology Image Tissue Localization☆45Updated 2 years ago
- predict microsatellite status from hematoxylin-eosin histology of gastrointestinal cancer☆102Updated 6 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
- Survival Convolutional Neural Networks☆67Updated 2 years ago
- Codes for Fast GPU-Enabled Color Normalization of Whole Slide Images in Digital Pathology☆75Updated 5 years ago
- Full package for applying deep learning to virtual slides.☆72Updated 7 years ago
- Tool to visualize gigantic pathology images and use AI to segment cancer cells and present as an overlay☆76Updated last year
- A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge☆209Updated 6 years ago
- H&E histopathological staining normalization☆110Updated 6 years ago
- HoVer-Net inference code for simultaneous nuclear segmentation and classification☆72Updated 3 years ago
- Histopathology Image Analysis☆93Updated 2 years ago
- A pipeline to segment tissue from the background in histological images☆72Updated 2 years ago
- HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images (ICCV 2019)☆95Updated 6 years ago
- CNN based segmentation codes☆48Updated 3 years ago
- Data and code to accompany our Nature publication☆48Updated 3 years ago
- AI-based pathology predicts origins for cancers of unknown primary - Nature☆179Updated 4 years ago
- Deep Convolutional Gaussian Mixture Model for Stain-Color Normalization in Histopathological H&E Images☆82Updated 4 years ago
- Python scripts for automatic Whole-Slide Image preprocessing.☆36Updated 4 years ago
- This is the MATLAB code for stain separation and color normalization in computational pathology (histopathological images)☆70Updated 9 years ago
- Interactive Segmentation of Nucleus☆67Updated 3 years ago
- H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.☆57Updated 2 years ago
- A biologically interpretable integrative deep learning model that integrates PAthological images and GEnomic data☆18Updated 5 years ago
- Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis☆77Updated 5 years ago
- Re-stained whole slide image alignment☆36Updated 2 years ago
- Python Whole Slide Image Preprocessing☆299Updated 3 years ago
- Some stain normalization code☆94Updated 3 years ago
- A set of codes to classify H&E slides using deep learning☆29Updated 3 years ago
- Pathologist-level interpretable whole-slide cancer diagnosis with deep learning☆131Updated 6 years ago