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Kirar, Bhupendra Singh
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Kirar, Bhupendra Singh
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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
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title Automated glaucoma detection using quasi‐bivariate variational mode decomposition from fundus images
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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
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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