Keratoconus Screening Based on Deep Learning Approach of Corneal Topography

• Published in: Translational vision science & technology Vol. 9; no. 2; p. 53
• Main Authors: Kuo, Bo-I, Chang, Wen-Yi, Liao, Tai-Shan, Liu, Fang-Yu, Liu, Hsin-Yu, Chu, Hsiao-Sang, Chen, Wei-Li, Hu, Fung-Rong, Yen, Jia-Yush, Wang, I-Jong
• Format: Journal Article
• Language: English
• Published: United States The Association for Research in Vision and Ophthalmology 25.09.2020
• Subjects: Cornea - diagnostic imaging; Corneal Topography; Deep Learning; Humans; Keratoconus - diagnosis; Retrospective Studies; Special Issue; deep learning; convolutional neuronal network; corneal topography; keratoconus

To develop and compare deep learning (DL) algorithms to detect keratoconus on the basis of corneal topography and validate with visualization methods. We retrospectively collected corneal topographies of the study group with clinically manifested keratoconus and the control group with regular astigm...