- Grand Challenge

Clément Playout

Clement

Canada
Ecole Polytechnique de Montréal
Informatics
Website

Statistics

Member for 6 years, 1 month
9 challenge submissions

Activity Overview

RETOUCH

Challenge User

Retinal OCT Fluid Challenge (RETOUCH) compares automated algorithms that are able to detect and segment different types of retinal fluid in optical coherence tomography (OCT).

ROCC

Challenge User

Retinal OCT Classification Challenge (ROCC) is organized as a one day Challenge in conjunction with MVIP2017. The goal of this challenge is to call different automated algorithms that are able to detect DR disease from normal retina on a common dataset of OCT volumes, acquired with Topcon SD-OCT devices.

IDRiD

Challenge User

This challenge evaluates automated techniques for analysis of fundus photographs. We target segmentation of retinal lesions like exudates, microaneurysms, and hemorrhages and detection of the optic disc and fovea. Also, we seek grading of fundus images according to the severity level of DR and DME.

DRIVE

Challenge User

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.

RIADD (ISBI-2021)

Challenge User

Retinal Image Analysis for multi-Disease Detection

Diabetic Retinopathy Analysis Challenge MICCAI2022

Challenge User

Diabetic Retinopathy (DR) lesions segmentation, image quality assessment and classification of proliferatived DR (PDR) and non-PDR in ultra-wide optical coherence tomography angiography mosaic (UW-OCTA-M) images

Fluid Segmentation in Retinal Optical Coherence Tomography (OCT)

Algorithm User

Segments intraretinal fluid, subretinal fluid, and pigment epithelial detachments in Optical Coherence Tomography scans. Optimized for Spectralis, Cirrus and Topcon scanners.