An evolutionary supply chain management service model based on deep learning features for automated glaucoma detection using fundus images-Reference-Cited by-同舟云学术

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An evolutionary supply chain management service model based on deep learning features for automated glaucoma detection using fundus images

Published:2024-02 Issue: Volume:128 Page:107449
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Sharma Santosh Kumar,Muduli Debendra,Priyadarshini Rojalina,Kumar Rakesh Ranjan,Kumar Abhinav^ORCID,Pradhan Jitesh

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference95 articles.

1. Deep convolutional neural networks for mammography: advances, challenges and applications;Abdelhafiz;BMC Bioinform.,2019

2. A novel algorithm to detect glaucoma risk using texton and local configuration pattern features extracted from fundus images;Acharya;Comput Biol Med,2017

3. Automated diagnosis of glaucoma using texture and higher order spectra features;Acharya;IEEE Trans. Inf. Technol. Biomed.,2011

4. Decision support system for the glaucoma using Gabor transformation;Acharya;Biomed. Signal Process. Control,2015

5. Automated glaucoma detection using quasi-bivariate variational mode decomposition from fundus images;Agrawal;IET Image Process.,2019

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