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The International AI Diabetic Retinopathy
(DR) Algorithm Challenge

OVERVIEW

In the face of the rapidly growing burden of diabetes worldwide, the need for automated techniques for the assessment of Diabetic Retinopathy (DR) has long been recognized. The recent emergence of deep learning-based Artificial Intelligence grading of DR represents an advancement of artificial neural networks that permit improved accuracy of disease classification (sensitivity and specificity >90%) from raw image data. These systems offer great promise to increase the efficiency, accessibility and affordability of DR screening programs. The goal of this competition is to encourage multi-disciplinary collaboration and promote the use of Artificial Intelligence as a novel application in telemedicine screening for eye diseases among the medicine and technology communities.

 

about competition

Coming Soon!



APTOS SECRETARIAT

c/o Centre for Eye Research Australia, Level 7 Peter Howson Wing,
32 Gisborne Street, East Melbourne, VIC 3002, Australia
Tel: (+61) (0)3 9929-8175
E-mail: secretariat@asiateleophth.org

 

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