Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/90093
Full metadata record
DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2016-05-16T05:05:45Z-
dc.date.available2016-05-16T05:05:45Z-
dc.identifier.urihttp://hdl.handle.net/10603/90093-
dc.description.abstractnewline
dc.format.extentXIV, 184p.
dc.languageEnglish
dc.relation67
dc.rightsuniversity
dc.titleA study on developing efficient approaches for automated detection of diabetic retinopathy from digital fundus images
dc.title.alternative
dc.creator.researcherPadmalal, S
dc.subject.keywordFrequency machine
dc.subject.keywordOnline
dc.subject.keywordVector machine
dc.description.note
dc.contributor.guideNelson kennedy babu, C
dc.publisher.placeTirunelveli
dc.publisher.universityManonmaniam Sundaranar University
dc.publisher.institutionDepartment of Information Technology and Engineering
dc.date.registeredn.d
dc.date.completedDecember 2014
dc.date.awardedn.d
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Centre for Information Technology and Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File31.15 kBAdobe PDFView/Open
02_certificate.pdf15.95 kBAdobe PDFView/Open
03_declaration.pdf14.59 kBAdobe PDFView/Open
04_acknowledgement.pdf18.27 kBAdobe PDFView/Open
05_content.pdf26.25 kBAdobe PDFView/Open
06_list of table.pdf14.71 kBAdobe PDFView/Open
07_list of figure.pdf28.84 kBAdobe PDFView/Open
08_abbreviation.pdf13.14 kBAdobe PDFView/Open
09_abstract.pdf22.44 kBAdobe PDFView/Open
10_chapter1.pdf555.98 kBAdobe PDFView/Open
11_chapter2.pdf286.51 kBAdobe PDFView/Open
12_chapter3.pdf2.31 MBAdobe PDFView/Open
13_chapter4.pdf2.52 MBAdobe PDFView/Open
14_chapter5.pdf1.33 MBAdobe PDFView/Open
15_chapter6.pdf949.41 kBAdobe PDFView/Open
16_chapter7.pdf32.51 kBAdobe PDFView/Open
17_reference.pdf60.68 kBAdobe PDFView/Open


Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).

Altmetric Badge: