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