Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/581515
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dc.coverage.spatialDiabetic Retinopathy
dc.date.accessioned2024-08-07T12:07:06Z-
dc.date.available2024-08-07T12:07:06Z-
dc.identifier.urihttp://hdl.handle.net/10603/581515-
dc.description.abstractAbstract Included newline
dc.format.extentxv, 84p
dc.languageEnglish
dc.relation109
dc.rightsuniversity
dc.titlePerformance Analysis and Evaluation of Image Processing Techniques DCNN and BSN model for Detection and Classification of Diabetic Retinopathy
dc.title.alternative
dc.creator.researcherSudha, S
dc.subject.keywordBiological Sensor Network Model
dc.subject.keywordConvolutional Neural Network
dc.subject.keywordDiabetic Retinopathy
dc.subject.keywordElectroretinogram Signal
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Biomedical
dc.subject.keywordImage Processing
dc.description.noteReferences p.71-81, Appendix p.84
dc.contributor.guideSrinivasan, A
dc.publisher.placeThanjavur
dc.publisher.universitySASTRA University
dc.publisher.institutionSchool of Electrical and Electronics Engineering
dc.date.registered2016
dc.date.completed2024
dc.date.awarded2024
dc.format.dimensions30 cm
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:School of Electrical and Electronics Engineering

Files in This Item:
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01_title.pdfAttached File176.46 kBAdobe PDFView/Open
02_prelim.pdf550.1 kBAdobe PDFView/Open
03_ the table of contents.pdf347.83 kBAdobe PDFView/Open
04_ abstract.pdf9.69 kBAdobe PDFView/Open
05 _ chapter_ 01.pdf45.54 kBAdobe PDFView/Open
06 _ chapter_ 02.pdf170.32 kBAdobe PDFView/Open
07 _ chapter_ 03.pdf1.03 MBAdobe PDFView/Open
08 _ chapter_ 04.pdf1.11 MBAdobe PDFView/Open
09 _ chapter_ 05.pdf1.11 MBAdobe PDFView/Open
10 _ chapter_ 06.pdf126.41 kBAdobe PDFView/Open
11 _ annexure.pdf384.26 kBAdobe PDFView/Open
80_recommendation.pdf128.37 kBAdobe PDFView/Open


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