Diagnostic Image Analysis Group's repositories
pathology-whole-slide-data
A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.
picai_eval
Evaluation of 3D detection and diagnosis performance —geared towards prostate cancer detection in MRI.
nnUNet-for-pathology
Adapted nnUNet framework with additional features to suit the requirements for pathology applications
website-content
This repository stores all the content for the diag websites.
pathology-he-autoaugmetation
Comparative analysis of 4 state-of-the-art automatic augmentation algorithms in H&E stained histopathology.
MHubAI_models
Stores the MHub models dockerfiles and scripts.
pathology-streamingclam
Lightstream implementation of the StreamingCLAM model
rse-pyswot
Python implementation of JetBrains/swot
rse-sagemaker-shim
Adapts algorithms that implement the Grand Challenge inference API for running in SageMaker
Literature
The literature generated and cited by the group
albumentationsxl
Albumentations with Pyvips backend for large image augmentations
bodyct-alpaca-lora
Instruct-tune LLaMA on consumer hardware
bodyct-sybil-lung-cancer-risk
Fork of the original Sybil repo, with adjustments by Fennie van der Graaf
lightstream
A Pytorch Lightning implementation for streaming convolutional networks
oncology-ULS23
Forked repository of the Universal Lesion Segmentation Challenge '23
rse-docker-github-changelog-generator
Fork to allow local updating with up-to-date package versions
rse-grand-challenge-forge
Generation of challenge packs
tiger_vuno_algorithm
Fork of the TIGER challenge winner repository