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.
pathology-artifact-detection
Quality control of whole-slide images through multi-class semantic segmentation of artifacts
picai_prep
Preprocessing 3D medical images and image archives —geared towards prostate cancer detection in MRI.
rse-panimg
Conversion of medical images to MHA and TIFF.
AbdomenMRUS-prostate-segmentation
Grand Challenge wrapper for whole-gland prostate segmentation with nnUNet
MedicalTransferLearning3D-UNet
This repository contains the model used for the paper ''Transfer learning from a sparsely annotated dataset of 3D medical images'' by G. Humpire, C. Jacobs, M. Prokop, B. van Ginneken, N. Lessmann.
pathology-he-autoaugmetation
Comparative analysis of 4 state-of-the-art automatic augmentation algorithms in H&E stained histopathology.
picai_nndetection_semi_supervised_gc_algorithm
Semi-supervised nnDetection model for 3D csPCa detection/diagnosis in bpMRI, deployable on grand-challenge.org
picai_nndetection_gc_algorithm
nnDetection model for 3D csPCa detection/diagnosis in bpMRI, deployable on grand-challenge.org
SPIDER-Evaluation
Evaluation code used for the SPIDER Challenge.
pathology-streamingclam
Lightstream implementation of the StreamingCLAM model
picai_nnunet_semi_supervised_gc_algorithm
Semi-supervised nnUNet model for 3D csPCa detection/diagnosis in bpMRI, deployable on grand-challenge.org
rse-sagemaker-shim
Adapts algorithms that implement the Grand Challenge inference API for running in SageMaker
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
CE-CT_PDAC_AutomaticDetection_nnUnet
Fully automtic pipeline for pancreatic ductal adenocarcinoma (PDAC) detection on contrast enhanced computed tomography (CE-CT) scans
demo-challenge-pack
Challenge pack for the demo challenge
escaperoom_cluster
You have to escape the cluster
lightstream
A Pytorch Lightning implementation for streaming convolutional networks
rse-docker-github-changelog-generator
Fork to allow local updating with up-to-date package versions