1. Shodhganga@INFLIBNET
  2. University of Calicut
  3. Govt. Engineering College, Trissur
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/335612
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2021-08-10T11:37:45Z-
dc.date.available2021-08-10T11:37:45Z-
dc.identifier.urihttp://hdl.handle.net/10603/335612-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleAn automated algorithm to extract features from retinal fundus images to detect diabetic retinopathy and assess its severity using deep learning
dc.title.alternative
dc.creator.researcherAnilkumar K R
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.description.note
dc.contributor.guideMeenakshy K
dc.publisher.placeKozhikode
dc.publisher.universityUniversity of Calicut
dc.publisher.institutionGovt. Engineering College, Trissur
dc.date.registered2015
dc.date.completed2020
dc.date.awarded
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Govt. Engineering College, Trissur

Files in This Item:
File Description SizeFormat 
01_titlepage.pdfAttached File185.68 kBAdobe PDFView/Open
02_certificate.pdf706.02 kBAdobe PDFView/Open
03_preliminary pages.pdf957.95 kBAdobe PDFView/Open
04_chapter1.pdf1.12 MBAdobe PDFView/Open
05_chapter2.pdf8 MBAdobe PDFView/Open
06_chapter3.pdf724.43 kBAdobe PDFView/Open
07_chapter4.pdf1.02 MBAdobe PDFView/Open
08_chapter5.pdf870.8 kBAdobe PDFView/Open
09_chapter6.pdf1.01 MBAdobe PDFView/Open
10_chapter7.pdf148.42 kBAdobe PDFView/Open
11_references.pdf185.45 kBAdobe PDFView/Open
80_recommendation.pdf126.96 kBAdobe PDFView/Open
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