research-article

Portable Nuclear and Cortical Eye Cataract Detection using Image Processing

Authors:

Jennifer C. Dela Cruz,

Jessie R. Balbin,

Jester I. Ballares,

Kyla Isabel B. Capuli,

Alfred Jerome H. Postrado,

Queennie Jhoy B. VenturaAuthors Info & Claims

ICBET '20: Proceedings of the 2020 10th International Conference on Biomedical Engineering and Technology

Pages 95 - 100

https://doi.org/10.1145/3397391.3397397

Published: 15 September 2020 Publication History

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Abstract

Early detection and treatment of cataract can prevent worse effects in eyesight, such as blurred vision and blindness. However, portability is an issue with the machines that are used for detecting eye cataracts. The focus of this paper will be the detection and classification of cataract using image processing algorithms which are Local Ridge Enhancement, Sobel Algorithm, Directional Coding, and Back Propagation Neural Network. The mobile application that shall serve as this study's output will display whether the user has an eye cataract or not. If an eye cataract is detected, the app shall only display the type of cataract and the severity grade of the eye cataract. Based on the data gathered and the doctor's assessment, this paper resulted in a 100% accuracy on detecting and classifying Normal Eyes, 80.00% on Nuclear Mild Cataract, 85.00% on Nuclear Severe Cataract, 80.00% on Cortical Mild Cataract, and 93.33% on Cortical Severe Cataract.

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Cited By

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Nair SShete P(2023)Mobile Application for Cataract Detection Using Convolution Neural Network2023 International Conference on Network, Multimedia and Information Technology (NMITCON)10.1109/NMITCON58196.2023.10276326(1-6)Online publication date: 1-Sep-2023
https://doi.org/10.1109/NMITCON58196.2023.10276326
Varghese RPandian IRaj VKutty T(2023)An analysis of vision loss in the human eye using machine learningINTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE “INNOVATIVE TECHNOLOGIES IN AGRICULTURE”10.1063/5.0175405(020006)Online publication date: 2023
https://doi.org/10.1063/5.0175405
Bhat WAhmed SKhan AAhmad ADar AReegu FArumugam M(2023)RETRACTED ARTICLE: Cataract eye detection by optik image analysis using encoder basis Boltzmann architecture integrated with internet of things and data miningOptical and Quantum Electronics10.1007/s11082-023-05038-755:10Online publication date: 6-Aug-2023
https://doi.org/10.1007/s11082-023-05038-7

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Published In

ICBET '20: Proceedings of the 2020 10th International Conference on Biomedical Engineering and Technology

September 2020

350 pages

ISBN:9781450377249

DOI:10.1145/3397391

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 September 2020

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ICBET 2020

ICBET 2020: 2020 10th International Conference on Biomedical Engineering and Technology

September 15 - 18, 2020

Tokyo, Japan

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Cited By

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Nair SShete P(2023)Mobile Application for Cataract Detection Using Convolution Neural Network2023 International Conference on Network, Multimedia and Information Technology (NMITCON)10.1109/NMITCON58196.2023.10276326(1-6)Online publication date: 1-Sep-2023
https://doi.org/10.1109/NMITCON58196.2023.10276326
Varghese RPandian IRaj VKutty T(2023)An analysis of vision loss in the human eye using machine learningINTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE “INNOVATIVE TECHNOLOGIES IN AGRICULTURE”10.1063/5.0175405(020006)Online publication date: 2023
https://doi.org/10.1063/5.0175405
Bhat WAhmed SKhan AAhmad ADar AReegu FArumugam M(2023)RETRACTED ARTICLE: Cataract eye detection by optik image analysis using encoder basis Boltzmann architecture integrated with internet of things and data miningOptical and Quantum Electronics10.1007/s11082-023-05038-755:10Online publication date: 6-Aug-2023
https://doi.org/10.1007/s11082-023-05038-7

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A Short Review on Cataract Detection and Classification Approaches Using Distinct Ophthalmic Imaging Modalities

Development of portable and robust cataract detection and grading system by analyzing multiple texture features for Tele-Ophthalmology

Visual function assessment of Chinese cataract patients after individual aspheric intraocular lens implantation according to preoperative cornea spherical aberration