Images processing for myopia detection using artificial neural networks.

This study aims to detect myopia using digital image processing technology, which can be detected by pupil size. The methods of artificial neural networks, namely the Backpropagation and Convolution Neural Network (CNN) methods are used to analyze the digital images of eyes. The different preparation of data input to be fit for these two methods has been conducted. The test results using Backpropagation ANN give the highest accuracy 71.66%. The test results of the CNN model produce an accuracy value of 77.14%. [ABSTRACT FROM AUTHOR]