1. Shodhganga@INFLIBNET
  2. CHRIST University
  3. Department of Computer Science
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/575076
Title: Computational methods for detection and recognition of coronary artery stenosis in angiogram images
Researcher: Kavipriya, K
Guide(s): Hiremath, Manjunatha
Keywords: Computer Science
Computer Science Artificial Intelligence
Coronary Angiogram,
Coronary Artery Disease,
Engineering and Technology
Keyframe Extraction,
Preprocessing,
Segmentation,
Stenosis,
Stenosis Detection.
University: CHRIST University
Completed Date: 2024
Pagination: xv, 135p.;
URI: http://hdl.handle.net/10603/575076
Appears in Departments:Department of Computer Science

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01_title.pdfAttached File29.47 kBAdobe PDFView/Open
02_prelim pages.pdf765.16 kBAdobe PDFView/Open
03_abstract.pdf16.66 kBAdobe PDFView/Open
04_table_of_contents.pdf55.54 kBAdobe PDFView/Open
05_chapter1.pdf654.72 kBAdobe PDFView/Open
06_chapter2.pdf217.57 kBAdobe PDFView/Open
07_chapter3.pdf240.51 kBAdobe PDFView/Open
08_chapter4.pdf1.01 MBAdobe PDFView/Open
09_chapter5.pdf515.82 kBAdobe PDFView/Open
10_chapter6.pdf425.55 kBAdobe PDFView/Open
11_chapter7.pdf298.17 kBAdobe PDFView/Open
12_chapter8.pdf511.84 kBAdobe PDFView/Open
13_chapter9.pdf16.98 kBAdobe PDFView/Open
14_annexures.pdf3.65 MBAdobe PDFView/Open
80_recommendation.pdf42.68 kBAdobe PDFView/Open
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