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Automated detection of microaneurysms using curvelet transform

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Main Authors: Shah, Syed Ayaz Ali, Tang, Tong Boon, Laude, Augustinus, Faye, Ibrahima
Format: Article
Published: The Association for Research in Vision and Ophthalmology 2015
Online Access:http://scholars.utp.edu.my/id/eprint/36563/
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record_format eprints
spelling oai:scholars.utp.edu.my:365632023-06-19T04:18:07Z http://scholars.utp.edu.my/id/eprint/36563/ Automated detection of microaneurysms using curvelet transform Shah, Syed Ayaz Ali Tang, Tong Boon Laude, Augustinus Faye, Ibrahima The Association for Research in Vision and Ophthalmology 2015 Article NonPeerReviewed Shah, Syed Ayaz Ali and Tang, Tong Boon and Laude, Augustinus and Faye, Ibrahima (2015) Automated detection of microaneurysms using curvelet transform. Investigative Ophthalmology & Visual Science, 56 (7). p. 5266.
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/
format Article
author Shah, Syed Ayaz Ali
Tang, Tong Boon
Laude, Augustinus
Faye, Ibrahima
spellingShingle Shah, Syed Ayaz Ali
Tang, Tong Boon
Laude, Augustinus
Faye, Ibrahima
Automated detection of microaneurysms using curvelet transform
author_facet Shah, Syed Ayaz Ali
Tang, Tong Boon
Laude, Augustinus
Faye, Ibrahima
author_sort Shah, Syed Ayaz Ali
title Automated detection of microaneurysms using curvelet transform
title_short Automated detection of microaneurysms using curvelet transform
title_full Automated detection of microaneurysms using curvelet transform
title_fullStr Automated detection of microaneurysms using curvelet transform
title_full_unstemmed Automated detection of microaneurysms using curvelet transform
title_sort automated detection of microaneurysms using curvelet transform
publisher The Association for Research in Vision and Ophthalmology
publishDate 2015
url http://scholars.utp.edu.my/id/eprint/36563/
_version_ 1769845524145373184
score 13.222552

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