Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/520153
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dc.coverage.spatialAn optimized clahe with improved fuzzy segmentation based CNN model for diabetic retinopathy classification
dc.date.accessioned2023-10-22T10:21:16Z-
dc.date.available2023-10-22T10:21:16Z-
dc.identifier.urihttp://hdl.handle.net/10603/520153-
dc.format.extentxxi, 177p.
dc.languageEnglish
dc.relationp.162-176
dc.rightsuniversity
dc.titleAn optimized clahe with improved fuzzy segmentation based CNN model for diabetic retinopathy classification
dc.title.alternative
dc.creator.researcherHemamalini S
dc.subject.keywordCLAHE technique
dc.subject.keywordCNN model
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordDeep learning
dc.subject.keywordDiabetic Retinopathy
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideAmbeth Kumar V D and Rene Robin
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions21cm.
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

Files in This Item:
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01_title.pdfAttached File26.51 kBAdobe PDFView/Open
02_prelim_pages.pdf999.24 kBAdobe PDFView/Open
03_contents.pdf20.45 kBAdobe PDFView/Open
04_abstracts.pdf21.16 kBAdobe PDFView/Open
05_chapter1.pdf867.26 kBAdobe PDFView/Open
06_chapter2.pdf107.53 kBAdobe PDFView/Open
07_chapter3.pdf1.08 MBAdobe PDFView/Open
08_chapter4.pdf919.66 kBAdobe PDFView/Open
09_chapter5.pdf859.97 kBAdobe PDFView/Open
10_annexures.pdf231.95 kBAdobe PDFView/Open
80_recommendation.pdf136.38 kBAdobe PDFView/Open


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