High Intraocular Pressure Detection from Frontal Eye Images: A Machine Learning Based Approach
EMBC 2018
Volume: 2018, Pages: 5406 - 5409
Published: Jul 1, 2018
Abstract
This paper presents a novel framework to detect the status of intraocular pressure (normal/high) using solely frontal eye image analysis. The framework is based on machine learning approaches to extract six features from frontal eye images. These features include Pupil/Iris ratio, red area percentage, mean redness level of the sclera, and three novel features from the sclera contour (angle, area and distance). Four hundred frontal eye images...
Paper Details
Title
High Intraocular Pressure Detection from Frontal Eye Images: A Machine Learning Based Approach
Published Date
Jul 1, 2018
Volume
2018
Pages
5406 - 5409
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