Classification and detection of eye disease from fundus images using machine learning

Registration ID: IJNRD_219287

Published ID: IJNRD2404674

DOI: Click Here to Get

Dhruvi Patel , Dr. Vikas Tulshyan , Prof. Naimish Patel

Machine Learning ,Fundus pictures , ANNs ,Early discovery

The predominance of eye infections such as diabetic retinopathy, glaucoma, and age-related macular degeneration (AMD) underscores the significance of early discovery and intercession to anticipate irreversible vision misfortune. In this paper, we propose a novel approach for robotized eye malady location leveraging machine learning calculations connected to fundus pictures. Fundus pictures give a comprehensive see of the retina and its vasculature, advertising profitable data for diagnosing different visual pathologies. Our technique includes preprocessing strategies to improve picture quality, taken after by include extraction to capture discriminative designs characteristic of diverse eye maladies. We utilize state-of-the-art machine learning models, counting Manufactured neural systems (ANNs) and outfit strategies, to memorize complex representations from the extricated highlights and classify fundus pictures into particular malady categories. The execution of our proposed framework is assessed on benchmark datasets, illustrating promising comes about in terms of exactness, affectability, specificity, and region beneath the recipient working characteristic bend (AUC-ROC). Moreover, we conduct broad tests to survey the strength and generalization capability of the proposed show over differing populaces and imaging conditions. The proposed mechanized eye malady location system appears potential for integration into clinical hone, advertising a cost-effective and productive arrangement for early conclusion and administration of sight-threatening conditions, hence contributing to made strides quiet results and diminished healthcare burdens.

Published Paper   E-Certificate

Dhruvi Patel, Dr. Vikas Tulshyan, & Prof. Naimish Patel (April-2024). Classification and detection of eye disease from fundus images using machine learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), g616-g623. https://ijnrd.org/papers/IJNRD2404674.pdf

Volume 9 Issue 4, April-2024

Pages : g616-g623

Paper Reg. ID: IJNRD_219287

Published Paper Id: IJNRD2404674

Downloads: 000121983

Research Area: Computer Engineering 

Country: Adalaj, Gujarat, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404674.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404674

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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