A0963
Title: Statistical Inference for Glaucoma Detection
Authors: Ngai Hang Chan - City University of Hong Kong (Hong Kong) [presenting]
Abstract: Some of the statistical techniques used in the analysis and detection of one of the most commonly encountered eye diseases, Glaucoma, will be reviewed. By means of some of the recent artificial intelligence algorithms, ophthalmologists are employing modern machine learning technologies such as CNN and its variates to assist in the early detection of eye symptoms in Glaucoma studies. Some of the related issues will be addressed, and the potential of statistical ideas in these studies will be discussed. Some examples will be given.
