Your mugshot

기택 권

kwongitack

  •  South Korea
  •  VUNO
  •  Fundus
Statistics
  • Member for 2 years, 6 months
  • 91 challenge submissions
  • 7 algorithms run

Activity Overview

IDRiD Logo
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 Logo
DRIVE
Challenge User

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

REFUGE Logo
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.

PALM Logo
PALM
Challenge User

The Pathologic Myopia Challenge (PALM) focuses on the investigation and development of algorithms associated with the diagnosis of Pathological Myopia (PM) and segmentation of lesions in fundus photos from PM patients.

AMD Logo
iChallenge-AMD
Challenge User

Age-related Macular Degeneration Challenge

RIADD Logo
RIADD (ISBI-2021)
Challenge User

Retinal Image Analysis for multi-Disease Detection

DRAC22 Logo
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

DENTEX Logo
DENTEX - MICCAI23
Challenge User

Dental Enumeration and Diagnosis on Panoramic X- rays Challenge

JustRAIGS Logo
Justified Referral in AI Glaucoma Screening
Challenge User