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Automated diagnosis of diabetic retinopathy enabled by optimized thresholding-based blood vessel segmentation and hybrid classifier

Automated diagnosis of diabetic retinopathy enabled by optimized thresholding-based blood vessel... http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Bio-Algorithms and Med-Systems de Gruyter

Automated diagnosis of diabetic retinopathy enabled by optimized thresholding-based blood vessel segmentation and hybrid classifier

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Publisher
de Gruyter
Copyright
© 2020 Walter de Gruyter GmbH, Berlin/Boston
ISSN
1896-530X
eISSN
1896-530X
DOI
10.1515/bams-2020-0053
Publisher site
See Article on Publisher Site

Abstract

Journal

Bio-Algorithms and Med-Systemsde Gruyter

Published: Mar 29, 2021

Keywords: average filtering; contrast limited adaptive histogram equalization; convolutional neural network; diabetic retinopathy; fitness rate-based crow search algorithm; gray-level co-occurrence matrices; neural network; optimized binary thresholding; tri-level discrete level decomposition

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