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Using A Cropping Technique or Not: Impacts on SVM-based AMD Detection on OCT Images

This paper compares the system performance of distinct flows with automatic image cropping to without automatic image cropping for age-related macular degeneration (AMD) detection on optical coherence tomography (OCT) images. Using the image cropping, the computational time of noise removal and feat...

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Main Authors: Ko, C.-E., Chen, P.-H., Liao, W.-M., Lu, C.-K., Lin, C.-H., Liang, J.-W.
Format: Conference or Workshop Item
Published: Institute of Electrical and Electronics Engineers Inc. 2019
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070449570&doi=10.1109%2fAICAS.2019.8771609&partnerID=40&md5=9fa13736e8774bf6e23cb3b527d65084
http://eprints.utp.edu.my/23566/
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spelling my.utp.eprints.235662021-08-19T07:56:40Z Using A Cropping Technique or Not: Impacts on SVM-based AMD Detection on OCT Images Ko, C.-E. Chen, P.-H. Liao, W.-M. Lu, C.-K. Lin, C.-H. Liang, J.-W. This paper compares the system performance of distinct flows with automatic image cropping to without automatic image cropping for age-related macular degeneration (AMD) detection on optical coherence tomography (OCT) images. Using the image cropping, the computational time of noise removal and feature extraction can be significantly reduced by a small loss of detection accuracy. The simulation results show that using the image cropping at the first stage achieves 93.4 accuracy. Compared to the flow without image cropping, using the image cropping loses only 0.5 accuracy but saves about 12 hours computational time and about a half of memory storages. © 2019 IEEE. Institute of Electrical and Electronics Engineers Inc. 2019 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070449570&doi=10.1109%2fAICAS.2019.8771609&partnerID=40&md5=9fa13736e8774bf6e23cb3b527d65084 Ko, C.-E. and Chen, P.-H. and Liao, W.-M. and Lu, C.-K. and Lin, C.-H. and Liang, J.-W. (2019) Using A Cropping Technique or Not: Impacts on SVM-based AMD Detection on OCT Images. In: UNSPECIFIED. http://eprints.utp.edu.my/23566/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description This paper compares the system performance of distinct flows with automatic image cropping to without automatic image cropping for age-related macular degeneration (AMD) detection on optical coherence tomography (OCT) images. Using the image cropping, the computational time of noise removal and feature extraction can be significantly reduced by a small loss of detection accuracy. The simulation results show that using the image cropping at the first stage achieves 93.4 accuracy. Compared to the flow without image cropping, using the image cropping loses only 0.5 accuracy but saves about 12 hours computational time and about a half of memory storages. © 2019 IEEE.
format Conference or Workshop Item
author Ko, C.-E.
Chen, P.-H.
Liao, W.-M.
Lu, C.-K.
Lin, C.-H.
Liang, J.-W.
spellingShingle Ko, C.-E.
Chen, P.-H.
Liao, W.-M.
Lu, C.-K.
Lin, C.-H.
Liang, J.-W.
Using A Cropping Technique or Not: Impacts on SVM-based AMD Detection on OCT Images
author_facet Ko, C.-E.
Chen, P.-H.
Liao, W.-M.
Lu, C.-K.
Lin, C.-H.
Liang, J.-W.
author_sort Ko, C.-E.
title Using A Cropping Technique or Not: Impacts on SVM-based AMD Detection on OCT Images
title_short Using A Cropping Technique or Not: Impacts on SVM-based AMD Detection on OCT Images
title_full Using A Cropping Technique or Not: Impacts on SVM-based AMD Detection on OCT Images
title_fullStr Using A Cropping Technique or Not: Impacts on SVM-based AMD Detection on OCT Images
title_full_unstemmed Using A Cropping Technique or Not: Impacts on SVM-based AMD Detection on OCT Images
title_sort using a cropping technique or not: impacts on svm-based amd detection on oct images
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2019
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070449570&doi=10.1109%2fAICAS.2019.8771609&partnerID=40&md5=9fa13736e8774bf6e23cb3b527d65084
http://eprints.utp.edu.my/23566/
_version_ 1738656490239033344
score 13.211869

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