A new method of vascular point detection using artificial neural network
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...
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IEEE
2012
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| Online Access: | http://irep.iium.edu.my/32181/ http://irep.iium.edu.my/32181/ http://irep.iium.edu.my/32181/ http://irep.iium.edu.my/32181/1/A_new_method_of_vascular_point_detection_using.pdf |
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eprints |
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iium-321812014-11-22T09:19:12Z http://irep.iium.edu.my/32181/ A new method of vascular point detection using artificial neural network Kaderi, Mohd Arifin Aibinu, Abiodun Musa Salami, Momoh Jimoh Emiyoka QM Human anatomy 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. IEEE 2012-12 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/32181/1/A_new_method_of_vascular_point_detection_using.pdf 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. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6498142&queryText%3DA+new+method+of+vascular+point+detection+using++Artificial+Neural+Network 978-1-4673-1666-8/12/$31.00 ©2012 IEEE |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
International Islamic University Malaysia |
| building |
IIUM Repository |
| collection |
Online Access |
| language |
English |
| topic |
QM Human anatomy |
| spellingShingle |
QM Human anatomy Kaderi, Mohd Arifin Aibinu, Abiodun Musa Salami, Momoh Jimoh Emiyoka A new method of vascular point detection using artificial neural network |
| description |
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. |
| format |
Conference or Workshop Item |
| author |
Kaderi, Mohd Arifin Aibinu, Abiodun Musa Salami, Momoh Jimoh Emiyoka |
| author_facet |
Kaderi, Mohd Arifin Aibinu, Abiodun Musa Salami, Momoh Jimoh Emiyoka |
| author_sort |
Kaderi, Mohd Arifin |
| title |
A new method of vascular point detection using artificial neural network |
| title_short |
A new method of vascular point detection using artificial neural network |
| title_full |
A new method of vascular point detection using artificial neural network |
| title_fullStr |
A new method of vascular point detection using artificial neural network |
| title_full_unstemmed |
A new method of vascular point detection using artificial neural network |
| title_sort |
new method of vascular point detection using artificial neural network |
| publisher |
IEEE |
| publishDate |
2012 |
| url |
http://irep.iium.edu.my/32181/ http://irep.iium.edu.my/32181/ http://irep.iium.edu.my/32181/ http://irep.iium.edu.my/32181/1/A_new_method_of_vascular_point_detection_using.pdf |
| first_indexed |
2023-09-18T20:46:27Z |
| last_indexed |
2023-09-18T20:46:27Z |
| _version_ |
1777409706833215488 |