Stochastic Approach for the Identification of Retinopathy of Prematurity

Retinopathy of Prematurity (ROP) is a retinal vessel growth condition that affects premature infants who usually are under a birth weight of 1,500 grams and have a gestational age of 32 weeks or less. The back portion of the eye, retina captures light and sends signals to the brain, creating the vis...

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Main Authors: Prabakar, S., Porkumaran, K., Karthikeyan, R., Isaac, S., Kannan, R., Nor, N.M., Elamvazuthi, I.
Format: Conference or Workshop Item
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.29178 /
Published: Institute of Electrical and Electronics Engineers Inc. 2021
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124171321&doi=10.1109%2fICIAS49414.2021.9642618&partnerID=40&md5=b00a0f51ae97b5edc0075b357e7f5930
http://eprints.utp.edu.my/29178/
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spelling utp-eprints.291782022-03-25T01:11:17Z Stochastic Approach for the Identification of Retinopathy of Prematurity Prabakar, S. Porkumaran, K. Karthikeyan, R. Isaac, S. Kannan, R. Nor, N.M. Elamvazuthi, I. Retinopathy of Prematurity (ROP) is a retinal vessel growth condition that affects premature infants who usually are under a birth weight of 1,500 grams and have a gestational age of 32 weeks or less. The back portion of the eye, retina captures light and sends signals to the brain, creating the vision of eye. Blood vessels supply oxygen and nutrients to the retina and these blood vessels begin to develop at 16-18 weeks after conception, and complete with full maturity before the normal birth. Premature birth suffers the development of the retina vasculature and leaves some of the retina without blood vessels, which causes of visual loss in childhood. Serial RetCam images are acquired from premature infants. By applying three pre-processing techniques such as green colour plane, histogram equalization, Contrast Limited Adaptive Histogram Equalization (CLAHE), we can get the best contrast between the vessels and background of retina. After segmentation, watershed transform is applied, and then six statistical features are taken out from that image. Finally the images are categorized as normal or abnormal by using ANFIS (The Adaptive Neuro-Fuzzy Inference System) classifier. © 2021 IEEE. Institute of Electrical and Electronics Engineers Inc. 2021 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124171321&doi=10.1109%2fICIAS49414.2021.9642618&partnerID=40&md5=b00a0f51ae97b5edc0075b357e7f5930 Prabakar, S. and Porkumaran, K. and Karthikeyan, R. and Isaac, S. and Kannan, R. and Nor, N.M. and Elamvazuthi, I. (2021) Stochastic Approach for the Identification of Retinopathy of Prematurity. In: UNSPECIFIED. http://eprints.utp.edu.my/29178/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Retinopathy of Prematurity (ROP) is a retinal vessel growth condition that affects premature infants who usually are under a birth weight of 1,500 grams and have a gestational age of 32 weeks or less. The back portion of the eye, retina captures light and sends signals to the brain, creating the vision of eye. Blood vessels supply oxygen and nutrients to the retina and these blood vessels begin to develop at 16-18 weeks after conception, and complete with full maturity before the normal birth. Premature birth suffers the development of the retina vasculature and leaves some of the retina without blood vessels, which causes of visual loss in childhood. Serial RetCam images are acquired from premature infants. By applying three pre-processing techniques such as green colour plane, histogram equalization, Contrast Limited Adaptive Histogram Equalization (CLAHE), we can get the best contrast between the vessels and background of retina. After segmentation, watershed transform is applied, and then six statistical features are taken out from that image. Finally the images are categorized as normal or abnormal by using ANFIS (The Adaptive Neuro-Fuzzy Inference System) classifier. © 2021 IEEE.
format Conference or Workshop Item
author Prabakar, S.
Porkumaran, K.
Karthikeyan, R.
Isaac, S.
Kannan, R.
Nor, N.M.
Elamvazuthi, I.
spellingShingle Prabakar, S.
Porkumaran, K.
Karthikeyan, R.
Isaac, S.
Kannan, R.
Nor, N.M.
Elamvazuthi, I.
Stochastic Approach for the Identification of Retinopathy of Prematurity
author_sort Prabakar, S.
title Stochastic Approach for the Identification of Retinopathy of Prematurity
title_short Stochastic Approach for the Identification of Retinopathy of Prematurity
title_full Stochastic Approach for the Identification of Retinopathy of Prematurity
title_fullStr Stochastic Approach for the Identification of Retinopathy of Prematurity
title_full_unstemmed Stochastic Approach for the Identification of Retinopathy of Prematurity
title_sort stochastic approach for the identification of retinopathy of prematurity
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2021
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124171321&doi=10.1109%2fICIAS49414.2021.9642618&partnerID=40&md5=b00a0f51ae97b5edc0075b357e7f5930
http://eprints.utp.edu.my/29178/
_version_ 1741197200789078016
score 11.62408

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