Retinal Blood Vessel Segmentation using Convolutional Neural Networks

Arun Kumar Yadav, Arti Jain, Jorge Luis Morato Lara, Divakar Yadav

2021

Abstract

Human beings often become victims to numerous diseases. Among these, diabetes stands out for its impairment of quality of life and even potential mortality. The diabetes needs to be properly taken care of, otherwise failure to detect its presence within proper time duration leads to a loss of life. According to the World Health Organization, the worldwide number of diabetic patients were 463 million during 2019 and is expected to cross 700 million by the 2045i. In the past, a lot of research has been carried out for retinal blood vessel segmentation for identification of Diabetic Retinopathy using various machine learning and deep learning models. In this research work, Convolutional Neural Network (CNN) and CLAHE are applied to tackle the problem of retinal blood vessel segmentation. Experimental evaluation shows that the proposed method outperforms with 0.9806 accuracy, quite competitive with respect to the state-of-art.

Paper Citation

in Harvard Style

Yadav A., Jain A., Morato Lara J. and Yadav D. (2021). Retinal Blood Vessel Segmentation using Convolutional Neural Networks. In Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - Volume 1: KDIR; ISBN 978-989-758-533-3, SciTePress, pages 292-298. DOI: 10.5220/0010719500003064

in Bibtex Style

@conference{kdir21,
author={Arun Kumar Yadav and Arti Jain and Jorge Luis Morato Lara and Divakar Yadav},
title={Retinal Blood Vessel Segmentation using Convolutional Neural Networks},
booktitle={Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - Volume 1: KDIR},
year={2021},
pages={292-298},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010719500003064},
isbn={978-989-758-533-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - Volume 1: KDIR
TI - Retinal Blood Vessel Segmentation using Convolutional Neural Networks
SN - 978-989-758-533-3
AU - Yadav A.
AU - Jain A.
AU - Morato Lara J.
AU - Yadav D.
PY - 2021
SP - 292
EP - 298
DO - 10.5220/0010719500003064
PB - SciTePress