International Institute of Information Technology, Hyderabad
Center for Computational Natural Sciences and Bioinformatics
Statistics
Member for 1 year, 10 months
6 challenge submissions
Activity Overview
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.
Decathlon
Challenge
User
The Medical Segmentation Decathlon challenge tests the generalisability of machine learning algorithms when applied to 10 different semantic segmentation task.
AIROGS
Challenge
User
Artificial Intelligence for RObust Glaucoma Screening Challenge
SynthRAD2023
Challenge
User
SynthRAD is the first challenge on automatic generation of synthetic computed tomography (sCT) for radiotherapy
Xray Projectomic Reconstruction Extracting Segment with Skeleton