Official PyTorch Implementation of paper 'Edge-Based Graph Neural Networks for Cell-Graph Modeling and Prediction'
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Updated
May 5, 2023 - Python
Official PyTorch Implementation of paper 'Edge-Based Graph Neural Networks for Cell-Graph Modeling and Prediction'
Python 3 Package for optimally sampling big images with texture-aware patchification based on SLIC superpixels. So Sleek !
Whole Slide Image Stain Normalisation and Augmentation
stain augmentation method based on stainmix up using multiple known stain matrices.
Self-Supervised Learning in Medicine Review
This repository contains official code for the WACV 2023 paper "HoechstGAN: Virtual Lymphocyte Staining Using Generative Adversarial Networks".
CLI tool to run specimen-level inference on whole slide images
Awesome List of Digital and Computational Pathology Resources
Intel OpenVINO extension for QuPath, a digital pathology platform
Macenko normalisation of big medical slides
SpatialVisVR is a VR platform tailored for advanced visualization and analysis of medical images in immuno-oncology. It allows real-time capture and comparison of mIF and mIHC images via mobile devices. Leveraging deep learning, it matches and displays similar images, supporting up to 100 protein channels.
This repository is dedicated to the segmentation of histological features in regenerated vascular tissues obtained from tissue-engineered vascular grafts (TEVGs) implanted in sheep.
Feature extraction from GEOJson nuclei and tissue segmentation maps
Quantitatively evaluate tumor stroma reaction within ovarian cancers, and establish assocaitaions to prognosis, molecular signatures.
DeeperHistReg - Source Code
Scripts used for the "Glycophorin C in carotid atherosclerotic plaque reflects intraplaque hemorrhage and pre-procedural neurological symptoms" paper.
On the evaluation of deep learning interpretability methods for medical images under the scope of faithfulness
tubular structure segmentation in histopathological images
Reading list for Computational Pathology
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