Artificial intelligence in corneal topography

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Zeki Sistemler Teori ve Uygulamaları Dergisi
Volume:2 Issue:1
Artificial intelligence in corneal topography

Artificial intelligence in corneal topography

Authors : Nazar SALEH, Nebras HUSSEİN

Pages : 1-6

Doi:10.38016/jista.456592

View : 37 | Download : 13

Publication Date : 2019-01-01

Article Type : Review Paper

Abstract :The purpose of this paper is to explore the effectiveness and efficiency of various artificial intelligence insert ignore into journalissuearticles values(AI); techniques in extracting features from corneal topographies. A considerable number of dated and contemporary related research papers have been reviewed. The author has only checked the studies that considered developing at least one AI-based algorithm for data classification of topographic patterns. The results of this review emphasize the effectiveness and efficiency of machine learning algorithms in the clinical diagnosis of various eye refractive problems.
Keywords : Artificial intelligence, classification, feature extraction, topographic images

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