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Talha Anwar

chtalhaanwar

  •  Pakistan
  •  Fast Nuces
  •  computer science
Statistics
  • Member for 3 years, 9 months
  • 37 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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HC18
Challenge User

Automated measurement of fetal head circumference using 2D ultrasound images

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PAIP 2019
Challenge User

PAIP2019: Liver Cancer Segmentation Task 1: Liver Cancer Segmentation Task 2: Viable Tumor Burden Estimation

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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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Foot Ulcer Segmentation Challenge
Challenge User

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KiTS21
Challenge User

The 2021 MICCAI Kidney and Kidney Tumor Segmentation challenge

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FLARE21
Challenge User

Fast and Low GPU memory Abdominal oRgan sEgmentation Challenge

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DFUC2021
Challenge User

Diabetic Foot Ulcer Challenge 2021

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Chest XR COVID-19 detection
Challenge User

Build AI models to detect COVID-19 using Chest X-ray images