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Shirshak Acharya

shirshak.acharya

  •  Nepal
  •  Thapathali Campus
  •  Department of Electronics and Computer
Statistics
  • Member for 9 months, 2 weeks
  • 38 challenge submissions
  • 5 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.

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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.

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iChallenge-AMD
Challenge User

Age-related Macular Degeneration Challenge

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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

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RIADD (ISBI-2021)
Challenge User

Retinal Image Analysis for multi-Disease Detection

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AIROGS
Challenge User

Artificial Intelligence for RObust Glaucoma Screening Challenge

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FH-PS-AOP challenge
Challenge User

Fetal Head and Pubic Symphysis Segmentation Challenge

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Pelvic Bone Fragments with Injuries Segmentation Challenge
Challenge User

Pelvic fracture segmentation in CT and X-ray