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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
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ISO Certification: 9001:2015
Publication Fee: 599/- INR
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License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 05

Published on: May 2026

HEART DISEASE PREDICTION USING RETINAL IMAGES WITH DEEP LEARNING

M Rama Mohan Avuku Obulesu D Laharika Reddy J Chhanakya N Srinivas J Kiranmai

Information Technology Department

Vidya Jyothi Institute of Technology (Affilated to JNTUH)

Hyderabad, India

 
DOI:https://doi.org/10.55041/ijcope.v2i5.564

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Plagiarism Passed Peer Reviewed Open Access

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Abstract

Heart disease is one of the major causes of mortality worldwide, and its early detection is essential for saving lives. This project focuses on developing a non-invasive system for heart disease prediction using retinal images. The retinal scans are processed and analyzed with the help of Python programming language using libraries such as NumPy, Pandas, and OpenCV for preprocessing and feature handling. The core implementation is carried out using deep learning models, particularly Convo-lutional Neural Networks (CNNs), built with TensorFlow/Keras or PyTorch, which help in extracting vascular patterns and detecting hidden indicators of heart disease. For evaluating per-formance, statistical measures and visualizations are generated. By integrating these tools and techniques, the project provides a cost-effective and accessible diagnostic aid that assists healthcare professionals in identifying risks at an early stage, reducing the need for invasive procedures and enabling better preventive care. Index Terms—Heart disease prediction, retinal imaging, deep learning, convolutional neural networks (CNN), medical image processing, non-invasive diagnosis, feature extraction, healthcare analytics.

How to Cite this Paper

Mohan, M. R., Obulesu, A., Reddy, D. L., Chhanakya, J., Srinivas, N. & Kiranmai, J. (2026). Heart Disease Prediction Using Retinal Images with Deep Learning. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(05), 1-10. https://doi.org/10.55041/ijcope.v2i5.564

Mohan, M, et al.. "Heart Disease Prediction Using Retinal Images with Deep Learning." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 05, 2026, pp. 1-10. doi:https://doi.org/10.55041/ijcope.v2i5.564.

Mohan, M,Avuku Obulesu,D Reddy,J Chhanakya,N Srinivas, and J Kiranmai. "Heart Disease Prediction Using Retinal Images with Deep Learning." International Journal of Creative and Open Research in Engineering and Management 02, no. 05 (2026): 1-10. https://doi.org/https://doi.org/10.55041/ijcope.v2i5.564.

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  • •All submissions are screened under plagiarism detection.
  • •Review follows editorial policy.
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  • •Peer Review Type: Double-Blind Peer Review
  • •Published on: May 19 2026
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