A new method of vascular point detection using artificial neural network

Kaderi, Mohd Arifin and Aibinu, Abiodun Musa and Salami, Momoh Jimoh Emiyoka (2012) A new method of vascular point detection using artificial neural network. In: IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES), 2012 , 17-19 December 2012, Langkawi, Kedah.

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Abstract

Vascular intersection is an important feature in retina fundus image (RFI). It can be used to monitor the progress of diabetes hence accurately determining vascular point is of utmost important. In this work a new method of vascular point detection using artificial neural network model has been proposed. The method uses a 5x5 window in order to detect the combination of bifurcation and crossover points in a retina fundus image. Simulated images have been used to train the artificial neural network and on convergence the network is used to test (RFI) from DRIVE database. Performance analysis of the system shows that ANN based technique achieves 100% accuracy on simulated images and minimum of 92% accuracy on RFI obtained from DRIVE database.

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Additional Information:	2470/32181 (ISBN: 978-1-4673-1664-4)
Uncontrolled Keywords:	Diabetic Retinopathy,Retina,Vascular points, Artificial Neural Network
Subjects:	Q Science > QM Human anatomy
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Mechatronics Engineering Kulliyyah of Allied Health Sciences Kulliyyah of Allied Health Sciences > Department of Biomedical Science (Effective:1st July 2011) Kulliyyah of Engineering
Depositing User:	Prof Momoh-Jimoh Salami
Date Deposited:	04 Oct 2013 09:10
Last Modified:	08 Jun 2022 14:38
URI:	http://irep.iium.edu.my/id/eprint/32181

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