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Automated glaucoma detection using quasi‐bivariate variational mode decomposition from fundus images
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Zeitschriftentitel: | IET Image Processing |
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Personen und Körperschaften: | , , |
In: | IET Image Processing, 13, 2019, 13, S. 2401-2408 |
Format: | E-Article |
Sprache: | Englisch |
veröffentlicht: |
Institution of Engineering and Technology (IET)
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Schlagwörter: |
author_facet |
Agrawal, Dheeraj Kumar Kirar, Bhupendra Singh Pachori, Ram Bilas Agrawal, Dheeraj Kumar Kirar, Bhupendra Singh Pachori, Ram Bilas |
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author |
Agrawal, Dheeraj Kumar Kirar, Bhupendra Singh Pachori, Ram Bilas |
spellingShingle |
Agrawal, Dheeraj Kumar Kirar, Bhupendra Singh Pachori, Ram Bilas IET Image Processing Automated glaucoma detection using quasi‐bivariate variational mode decomposition from fundus images Electrical and Electronic Engineering Computer Vision and Pattern Recognition Signal Processing Software |
author_sort |
agrawal, dheeraj kumar |
spelling |
Agrawal, Dheeraj Kumar Kirar, Bhupendra Singh Pachori, Ram Bilas 1751-9659 1751-9667 Institution of Engineering and Technology (IET) Electrical and Electronic Engineering Computer Vision and Pattern Recognition Signal Processing Software http://dx.doi.org/10.1049/iet-ipr.2019.0036 Automated glaucoma detection using quasi‐bivariate variational mode decomposition from fundus images IET Image Processing |
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10.1049/iet-ipr.2019.0036 |
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Institution of Engineering and Technology (IET), 2019 |
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Institution of Engineering and Technology (IET), 2019 |
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1751-9659 1751-9667 |
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1751-9659 1751-9667 |
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2019 |
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Institution of Engineering and Technology (IET) |
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ai |
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IET Image Processing |
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49 |
title |
Automated glaucoma detection using quasi‐bivariate variational mode decomposition from fundus images |
title_unstemmed |
Automated glaucoma detection using quasi‐bivariate variational mode decomposition from fundus images |
title_full |
Automated glaucoma detection using quasi‐bivariate variational mode decomposition from fundus images |
title_fullStr |
Automated glaucoma detection using quasi‐bivariate variational mode decomposition from fundus images |
title_full_unstemmed |
Automated glaucoma detection using quasi‐bivariate variational mode decomposition from fundus images |
title_short |
Automated glaucoma detection using quasi‐bivariate variational mode decomposition from fundus images |
title_sort |
automated glaucoma detection using quasi‐bivariate variational mode decomposition from fundus images |
topic |
Electrical and Electronic Engineering Computer Vision and Pattern Recognition Signal Processing Software |
url |
http://dx.doi.org/10.1049/iet-ipr.2019.0036 |
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2019 |
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2401-2408 |
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author | Agrawal, Dheeraj Kumar, Kirar, Bhupendra Singh, Pachori, Ram Bilas |
author_facet | Agrawal, Dheeraj Kumar, Kirar, Bhupendra Singh, Pachori, Ram Bilas, Agrawal, Dheeraj Kumar, Kirar, Bhupendra Singh, Pachori, Ram Bilas |
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container_title | IET Image Processing |
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imprint | Institution of Engineering and Technology (IET), 2019 |
imprint_str_mv | Institution of Engineering and Technology (IET), 2019 |
institution | DE-Zi4, DE-Gla1, DE-15, DE-Pl11, DE-Rs1, DE-14, DE-105, DE-Ch1, DE-L229, DE-D275, DE-Bn3, DE-Brt1, DE-Zwi2, DE-D161 |
issn | 1751-9659, 1751-9667 |
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language | English |
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physical | 2401-2408 |
publishDate | 2019 |
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source_id | 49 |
spelling | Agrawal, Dheeraj Kumar Kirar, Bhupendra Singh Pachori, Ram Bilas 1751-9659 1751-9667 Institution of Engineering and Technology (IET) Electrical and Electronic Engineering Computer Vision and Pattern Recognition Signal Processing Software http://dx.doi.org/10.1049/iet-ipr.2019.0036 Automated glaucoma detection using quasi‐bivariate variational mode decomposition from fundus images IET Image Processing |
spellingShingle | Agrawal, Dheeraj Kumar, Kirar, Bhupendra Singh, Pachori, Ram Bilas, IET Image Processing, Automated glaucoma detection using quasi‐bivariate variational mode decomposition from fundus images, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Signal Processing, Software |
title | Automated glaucoma detection using quasi‐bivariate variational mode decomposition from fundus images |
title_full | Automated glaucoma detection using quasi‐bivariate variational mode decomposition from fundus images |
title_fullStr | Automated glaucoma detection using quasi‐bivariate variational mode decomposition from fundus images |
title_full_unstemmed | Automated glaucoma detection using quasi‐bivariate variational mode decomposition from fundus images |
title_short | Automated glaucoma detection using quasi‐bivariate variational mode decomposition from fundus images |
title_sort | automated glaucoma detection using quasi‐bivariate variational mode decomposition from fundus images |
title_unstemmed | Automated glaucoma detection using quasi‐bivariate variational mode decomposition from fundus images |
topic | Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Signal Processing, Software |
url | http://dx.doi.org/10.1049/iet-ipr.2019.0036 |