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KeratoDetect: Keratoconus Detection Algorithm Using Convolutional Neural Networks

Keratoconus (KTC) is a noninflammatory disorder characterized by progressive thinning, corneal deformation, and scarring of the cornea. The pathological mechanisms of this condition have been investigated for a long time. In recent years, this disease has come to the attention of many research cente...

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Detalles Bibliográficos
Autores principales: Lavric, Alexandru, Valentin, Popa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6364125/
https://www.ncbi.nlm.nih.gov/pubmed/30809255
http://dx.doi.org/10.1155/2019/8162567
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author Lavric, Alexandru
Valentin, Popa
author_facet Lavric, Alexandru
Valentin, Popa
author_sort Lavric, Alexandru
collection PubMed
description Keratoconus (KTC) is a noninflammatory disorder characterized by progressive thinning, corneal deformation, and scarring of the cornea. The pathological mechanisms of this condition have been investigated for a long time. In recent years, this disease has come to the attention of many research centers because the number of people diagnosed with keratoconus is on the rise. In this context, solutions that facilitate both the diagnostic and treatment options are quickly needed. The main contribution of this paper is the implementation of an algorithm that is able to determine whether an eye is affected or not by keratoconus. The KeratoDetect algorithm analyzes the corneal topography of the eye using a convolutional neural network (CNN) that is able to extract and learn the features of a keratoconus eye. The results show that the KeratoDetect algorithm ensures a high level of performance, obtaining an accuracy of 99.33% on the data test set. KeratoDetect can assist the ophthalmologist in rapid screening of its patients, thus reducing diagnostic errors and facilitating treatment.
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spelling pubmed-63641252019-02-26 KeratoDetect: Keratoconus Detection Algorithm Using Convolutional Neural Networks Lavric, Alexandru Valentin, Popa Comput Intell Neurosci Research Article Keratoconus (KTC) is a noninflammatory disorder characterized by progressive thinning, corneal deformation, and scarring of the cornea. The pathological mechanisms of this condition have been investigated for a long time. In recent years, this disease has come to the attention of many research centers because the number of people diagnosed with keratoconus is on the rise. In this context, solutions that facilitate both the diagnostic and treatment options are quickly needed. The main contribution of this paper is the implementation of an algorithm that is able to determine whether an eye is affected or not by keratoconus. The KeratoDetect algorithm analyzes the corneal topography of the eye using a convolutional neural network (CNN) that is able to extract and learn the features of a keratoconus eye. The results show that the KeratoDetect algorithm ensures a high level of performance, obtaining an accuracy of 99.33% on the data test set. KeratoDetect can assist the ophthalmologist in rapid screening of its patients, thus reducing diagnostic errors and facilitating treatment. Hindawi 2019-01-23 /pmc/articles/PMC6364125/ /pubmed/30809255 http://dx.doi.org/10.1155/2019/8162567 Text en Copyright © 2019 Alexandru Lavric and Popa Valentin. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Lavric, Alexandru
Valentin, Popa
KeratoDetect: Keratoconus Detection Algorithm Using Convolutional Neural Networks
title KeratoDetect: Keratoconus Detection Algorithm Using Convolutional Neural Networks
title_full KeratoDetect: Keratoconus Detection Algorithm Using Convolutional Neural Networks
title_fullStr KeratoDetect: Keratoconus Detection Algorithm Using Convolutional Neural Networks
title_full_unstemmed KeratoDetect: Keratoconus Detection Algorithm Using Convolutional Neural Networks
title_short KeratoDetect: Keratoconus Detection Algorithm Using Convolutional Neural Networks
title_sort keratodetect: keratoconus detection algorithm using convolutional neural networks
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6364125/
https://www.ncbi.nlm.nih.gov/pubmed/30809255
http://dx.doi.org/10.1155/2019/8162567
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