RadboudCOVID

Data from RadboudUMC from Covid-19 (suspected) subjects

Patch Camelyon

Indicate which patches are malignant.

CORADS Score Practice

Practice CORADS scoring with 50 cases. You get instant feedback after every case.

LOLA11

The goal of LOLA11 (LObe and Lung Analysis 2011) is to compare methods for (semi-)automatic segmentation of the lungs and lobes from chest computed tomography scans. Any team, whether from academia or industry, can join.

ICIAR 2018

Can you develop a method for automatic detection of cancerous regions in breast cancer histology images?

LUMIC

The LUMIC challenge tests the accuracy in registration between pre- and post-contrast CT chest images for algorithms, using an anthropomophic digital phantom.

DRIVE

Develop a system to automatically segment vessels in human retina fundus images.

ANHIR

The challenge focuses on comparing the accuracy (using manually annotated landmarks) and the approximate speed of automatic non-linear registration methods for aligning microscopy images of multi-stained histology tissue samples.

Decathlon

The Medical Segmentation Decathlon challenge tests the generalisability of machine learning algorithms when applied to 10 different semantic segmentation task.

DENTEX - MICCAI23

Dental Enumeration and Diagnosis on Panoramic X- rays Challenge

Tissue-Background Segmentation

CXR Cardiomegaly Detection

Detect cardiomegaly on chest radiographs through the segmentation of the heart and lungs .

Gleason Grading of Prostate Biopsies

Automated Gleason grading of prostate biopsies following the Gleason Grade Group system.

CORADS-AI

Segments pulmonary lobes and lesions and computes the CORADS and CT Severity Score from a non-contrast CT scan.