- Grand Challenge

Li Mingxing

limx

China
University of Science and Technology of China
School of Information Science and Technology
Website

Statistics

Member for 5 years
19 challenge submissions

Activity Overview

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.

KiTS19

Challenge User

2019 Kidney and Kidney Tumor Segmentation Challenge

ODIR-2019

Challenge User

北京大学国际眼底图像智能识别竞赛 Peking University International Competition on Ocular Disease Intelligent Recognition

MitoEM

Challenge User

Large-scale 3D mitochondria instance segmentation benchmark