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Farhana Sultana

Sfarhana

  •  India
  •  University of Gour Banga
  •  Computer Science
Statistics
  • Member for 1 year, 7 months
  • 26 challenge submissions

Activity Overview

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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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RAVIR
Challenge User

A dataset for semantic segmentation and quantitative analysis of retinal arteries and veins in infrared reflectance imaging

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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