An Automated Tool for Non-contact, Real Time Early Detection of Diabetes by Computer Vision

Abstract

There has been considerable progress in computer vision, artificial neural network and pattern recognition in the last two decades, and there has also much progress in medical imaging technology in recent years. Although images in digital form can be processed by basic image processing techniques, effective use of computer vision  can provide much useful information for diagnosis and treatment. In this paper we integrate computer vision and iridology practice for the detection of diabetes.

Read full abstract: 511-C1001

 

International Journal of Machine Learning and Computing, Vol. 5, No. 3, June 2015
Jamal Firmat Banzi

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