Vascular intersection detection in retina fundus images using a new hybrid approach

The use of vascular intersection aberration as one of the signs when monitoring and diagnosing diabetic retinopathy from retina fundus images (FIs) has been widely reported in the literature. In this paper, a new hybrid approach called the combined cross-point number (CCN) method able to detect the...

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Main Authors:	Aibinu, Abiodun Musa, Iqbal, Muhammad Imran, Shafie, Amir Akramin, Salami, Momoh Jimoh Emiyoka, Nilsson, Mikael
Format:	Article
Language:	English
Published:	Elsevier 2010
Subjects:	R Medicine (General)
Online Access:	http://irep.iium.edu.my/1482/ http://irep.iium.edu.my/1482/ http://irep.iium.edu.my/1482/1/OUR_JOURNAL_PAPER.pdf

id	iium-1482
recordtype	eprints
spelling	iium-14822011-10-03T06:56:36Z http://irep.iium.edu.my/1482/ Vascular intersection detection in retina fundus images using a new hybrid approach Aibinu, Abiodun Musa Iqbal, Muhammad Imran Shafie, Amir Akramin Salami, Momoh Jimoh Emiyoka Nilsson, Mikael R Medicine (General) The use of vascular intersection aberration as one of the signs when monitoring and diagnosing diabetic retinopathy from retina fundus images (FIs) has been widely reported in the literature. In this paper, a new hybrid approach called the combined cross-point number (CCN) method able to detect the vascular bifurcation and intersection points in FIs is proposed. The CCN method makes use of two vascular intersection detection techniques, namely the modified cross-point number (MCN) method and the simple cross-point number (SCN) method. Our proposed approach was tested on images obtained from two different and publicly available fundus image databases. The results show a very high precision, accuracy, sensitivity and low false rate in detecting both bifurcation and crossover points compared with both the MCN and the SCN methods. Elsevier 2010 Article PeerReviewed application/pdf en http://irep.iium.edu.my/1482/1/OUR_JOURNAL_PAPER.pdf Aibinu, Abiodun Musa and Iqbal, Muhammad Imran and Shafie, Amir Akramin and Salami, Momoh Jimoh Emiyoka and Nilsson, Mikael (2010) Vascular intersection detection in retina fundus images using a new hybrid approach. Computers in Biology and Medicine, 40 (1). pp. 81-89. ISSN 0010-4825 http://www.elsevier.com/locate/cbm
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	R Medicine (General)
spellingShingle	R Medicine (General) Aibinu, Abiodun Musa Iqbal, Muhammad Imran Shafie, Amir Akramin Salami, Momoh Jimoh Emiyoka Nilsson, Mikael Vascular intersection detection in retina fundus images using a new hybrid approach
description	The use of vascular intersection aberration as one of the signs when monitoring and diagnosing diabetic retinopathy from retina fundus images (FIs) has been widely reported in the literature. In this paper, a new hybrid approach called the combined cross-point number (CCN) method able to detect the vascular bifurcation and intersection points in FIs is proposed. The CCN method makes use of two vascular intersection detection techniques, namely the modified cross-point number (MCN) method and the simple cross-point number (SCN) method. Our proposed approach was tested on images obtained from two different and publicly available fundus image databases. The results show a very high precision, accuracy, sensitivity and low false rate in detecting both bifurcation and crossover points compared with both the MCN and the SCN methods.
format	Article
author	Aibinu, Abiodun Musa Iqbal, Muhammad Imran Shafie, Amir Akramin Salami, Momoh Jimoh Emiyoka Nilsson, Mikael
author_facet	Aibinu, Abiodun Musa Iqbal, Muhammad Imran Shafie, Amir Akramin Salami, Momoh Jimoh Emiyoka Nilsson, Mikael
author_sort	Aibinu, Abiodun Musa
title	Vascular intersection detection in retina fundus images using a new hybrid approach
title_short	Vascular intersection detection in retina fundus images using a new hybrid approach
title_full	Vascular intersection detection in retina fundus images using a new hybrid approach
title_fullStr	Vascular intersection detection in retina fundus images using a new hybrid approach
title_full_unstemmed	Vascular intersection detection in retina fundus images using a new hybrid approach
title_sort	vascular intersection detection in retina fundus images using a new hybrid approach
publisher	Elsevier
publishDate	2010
url	http://irep.iium.edu.my/1482/ http://irep.iium.edu.my/1482/ http://irep.iium.edu.my/1482/1/OUR_JOURNAL_PAPER.pdf
first_indexed	2023-09-18T20:08:51Z
last_indexed	2023-09-18T20:08:51Z
_version_	1777407341215350784

Vascular intersection detection in retina fundus images using a new hybrid approach

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