Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/90093
Title: A study on developing efficient approaches for automated detection of diabetic retinopathy from digital fundus images
Researcher: Padmalal, S
Guide(s): Nelson kennedy babu, C
Keywords: Frequency machine
Online
Vector machine
University: Manonmaniam Sundaranar University
Completed Date: December 2014
Abstract: newline
Pagination: XIV, 184p.
URI: http://hdl.handle.net/10603/90093
Appears in Departments:Centre for Information Technology and Engineering

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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
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