1. Shodhganga@INFLIBNET
  2. Anna University
  3. Faculty of Information and Communication Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/232915
Title: An efficient mining framework for coronary disease diagnosis from bi modal clinical data
Researcher: R, Priyatharshini
Guide(s): Chitrakala, S
Keywords: Algorithms
Altas-based
Bi-modal
Gray-level
MagneticResonance
University: Anna University
Completed Date: 2017
Abstract: Abstract available
Pagination: xxiv, 182p.
URI: http://hdl.handle.net/10603/232915
Appears in Departments:Faculty of Information and Communication Engineering

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01_title page.pdfAttached File29.87 kBAdobe PDFView/Open
02_certificate.pdf479.44 kBAdobe PDFView/Open
03_abstract.pdf10.32 kBAdobe PDFView/Open
04_acknowledgement.pdf4.48 kBAdobe PDFView/Open
05_table of content.pdf20.33 kBAdobe PDFView/Open
06_list of table.pdf12.44 kBAdobe PDFView/Open
07_list of figures.pdf13.46 kBAdobe PDFView/Open
08_list of symbol and abbreviations.pdf86.69 kBAdobe PDFView/Open
09_chapter 1.pdf1.21 MBAdobe PDFView/Open
10_chapter 2.pdf614.7 kBAdobe PDFView/Open
11_chapter 3.pdf609.14 kBAdobe PDFView/Open
12_chapter 4.pdf1.56 MBAdobe PDFView/Open
13_chapter 5.pdf1.31 MBAdobe PDFView/Open
14_chapter 6.pdf1.52 MBAdobe PDFView/Open
15_chapter 7.pdf122.42 kBAdobe PDFView/Open
16_appendix 1.pdf97.02 kBAdobe PDFView/Open
17_references.pdf161.06 kBAdobe PDFView/Open
18_list of publication.pdf14.73 kBAdobe PDFView/Open
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