International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Deep Learning Technique for Detection of Myopic Disorders

Prof. K. D. YesugadeProfessor, Department of Computer Engineering, Bharati Vidyapeeth’s College of Engineering for Women, Pune, IndiaMayuri ManeStudent, Department of Computer Engineering, Bharati Vidyapeeth’s College of Engineering for Women, Pune, IndiaSanika SasaneStudent, Department of Computer Engineering, Bharati Vidyapeeth’s College of Engineering for Women, Pune, IndiaNeha WadkarStudent, Department of Computer Engineering, Bharati Vidyapeeth’s College of Engineering for Women, Pune, IndiaShreya YadavStudent, Department of Computer Engineering, Bharati Vidyapeeth’s College of Engineering for Women, Pune, India

Vol 8 No 5 (2024): Volume 8, Issue 5, May 2024 | Pages: 63-70

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 24-05-2024

doi Logo doi.org/10.47001/IRJIET/2024.805009

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Abstract

The prevalence of myopia, a common refractive error causing blurred distant vision, has been steadily increasing. In more severe cases, myopia manifests as high myopia and pathological myopia, which can lead to irreversible vision impairment due to associated complications like retinal detachment and macular degeneration. High myopia and pathological myopia pose serious threats to visual health, necessitating accurate and early detection for effective intervention. This research focuses on leveraging Convolutional Neural Networks (CNNs) for the automated detection and classification of high myopia and pathological myopia from fundus images. CNNs have proven to be powerful tools in image analysis tasks, particularly in discerning intricate patterns and features. Fundus photographs and optical coherence tomography scans are employed to capture detailed anatomical structures associated with high myopia and pathological myopia.

Keywords

Myopia, Nearsightedness, Myopic vision, Vision problems, CNN image detection


Citation of this Article

           

Prof. K. D. Yesugade, Mayuri Mane, Sanika Sasane, Neha Wadkar, Shreya Yadav, “Deep Learning Technique for Detection of Myopic Disorders”, Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 8, Issue 5, pp 63-70, May 2024. Article DOI https://doi.org/10.47001/IRJIET/2024.805009

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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