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Author/Affiliation: Mohammad Mahdi Borhan Elmi
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Open AccessArticle
9 Pages, 4,040 KB Download PDF
Keratoconus Disease Prediction by Utilizing Feature-Based Recurrent Neural Network

by Saja Hassan Musa, Qaderiya Jaafar Mohammed Alhaidar and Mohammad Mahdi Borhan Elmi
Journal of Engineering Research and Sciences, Volume 3, Issue 7, Page # 44-52, 2024; DOI: 10.55708/js0307004
Abstract: Keratoconus is a noninflammatory disorder marked by gradual corneal thinning, distortion, and scarring. Vision is significantly distorted in advanced case, so an accurate diagnosis in early stages has a great importance and avoid complications after the refractive surgery. In this project, a novel approach for detecting Keratoconus from clinical images was presented. In this regard,… Read More

(This article belongs to the Section Biomedical Engineering (BIE))

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