Develop a system to automatically segment vessels in human retina fundus images.
REFUGE
Challenge
User
The goal of the Retinal Fundus Glaucoma Challenge (REFUGE) is to evaluate and compare automated algorithms for glaucoma detection and optic disc/cup segmentation on a common dataset of retinal fundus images.
EAD2019
Challenge
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Endoscopic Artefact Detection (EAD) is a core problem and needed for realising robust computer-assisted tools. The EAD challenge has 3 tasks: 1) Multi-class artefact detection, 2) Region segmentation, 3) Detection generalisation.
EndoCV2020
Challenge
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Endoscopy computer vision challenge (EndoCV2020) introduces two core sub-themes in endoscopy: 1) artefact detection and segmentation (EAD2020) and 2) disease detection and segmentation (EDD2020).
VerSe'20
Challenge
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Vertebrae labelling and segmentation on a multi-centre, multi-scanner, and anatomically-diverse CT dataset.
RIADD (ISBI-2021)
Challenge
User
Retinal Image Analysis for multi-Disease Detection
MitoEM
Challenge
User
Large-scale 3D mitochondria instance segmentation benchmark
EndoCV2021
Challenge
User
Endoscopy Computer Vision Challenge 2021
CholecTriplet 2021
Challenge
User
EndoVis Sub-challenge for Surgical Action Triplet Recognition
RAVIR
Challenge
User
A dataset for semantic segmentation and quantitative analysis of retinal arteries and veins in infrared reflectance imaging
