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Hybrid CNN-SVD Based Prominent Feature Extraction and Selection for Grading Diabetic Retinopathy Using Extreme Learning Machine Algorithm

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dc.contributor.authorNahiduzzaman, Md
dc.contributor.authorIslam, Md Robiul
dc.contributor.authorIslam, S. M.Riazul
dc.contributor.authorGoni, Md Omaer Faruq
dc.contributor.authorAnower, Md Shamim
dc.contributor.authorKwak, Kyung Sup
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.date.accessioned2023-10-03T23:17:00Z
dc.date.available2023-10-03T23:17:00Z
dc.date.issued2021-11-08
dc.descriptionFunding Information: This work was supported in part by the National Research Foundation of Korea-Grant funded by the Government of Korea (Ministry of Science and ICT) under Grant NRF-2020R1A2B5B02002478, and in part by Sejong University through the Faculty Research Program under Grant 20212023en
dc.description.statusPeer revieweden
dc.format.extent14
dc.format.extent2234620
dc.identifier281139396
dc.identifierd8a83fc1-a0ec-475f-953e-ed3ee8b1d6d9
dc.identifier85120352105
dc.identifier.citationNahiduzzaman, M, Islam, M R, Islam, S M R, Goni, M O F, Anower, M S & Kwak, K S 2021, 'Hybrid CNN-SVD Based Prominent Feature Extraction and Selection for Grading Diabetic Retinopathy Using Extreme Learning Machine Algorithm', IEEE Access, vol. 9, pp. 152261-152274. https://doi.org/10.1109/ACCESS.2021.3125791en
dc.identifier.doi10.1109/ACCESS.2021.3125791
dc.identifier.issn2169-3536
dc.identifier.otherORCID: /0000-0003-2968-9561/work/144004111
dc.identifier.urihttps://hdl.handle.net/2164/21825
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85120352105&partnerID=8YFLogxKen
dc.identifier.vol9en
dc.language.isoeng
dc.relation.ispartofIEEE Accessen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectBen Graham's pre-processingen
dc.subjectcontrast limited adaptive histogram equalization (CLAHE)en
dc.subjectconvolutional neural network-singular value decomposition (CNN-SVD)en
dc.subjectdiabetic retinopathy (DR)en
dc.subjectextreme learning machine (ELM)en
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectGeneral Computer Scienceen
dc.subjectGeneral Materials Scienceen
dc.subjectGeneral Engineeringen
dc.subject.lccQA75en
dc.titleHybrid CNN-SVD Based Prominent Feature Extraction and Selection for Grading Diabetic Retinopathy Using Extreme Learning Machine Algorithmen
dc.typeJournal articleen

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