Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/262096
Title: Automated system for identification and classification of medical imaging modalities
Researcher: Sundarambal B
Guide(s): Bommanna Raja K
Keywords: Engineering and Technology,Engineering,Engineering Electrical and Electronic
Imaging techniques
Medical Imaging
University: Anna University
Completed Date: 2018
Abstract: Today, with the invention of medical imaging techniques, the journey inside the human body is done by the clinicians without adopting invasive procedures. The survey shows that the demands and innovations of imaging technology are keep on increasing. In an interview, Professor Olav Jansen, Director, the institute of Neuroradiology, Schleswig-Holstein, Kiel said that new molecular imaging methods depicting not only organs morphology but also their functions will be invented by 2020. Thus there is a substantial growth of medical imaging technologies and subsequently the volume of medical images in healthcare sector also increases to a greater extent. Retrieval of medical images from such a large repository as and when required becomes a critical task. Many research works in text based image retrieval and content based image retrieval methods are evolved to address this issue. Content based image retrieval considers the visual aspects newlineof an image such as color, shape and texture. To retrieve medical images based on its visual aspects, the modality of a medical image is consideredas one of the best filter to limit the search space. Thus medical image retrieval depends on the identification of the modality. newline newline
Pagination: xx,115p.
URI: http://hdl.handle.net/10603/262096
Appears in Departments:Faculty of Information and Communication Engineering

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02_certificates.pdf307.15 kBAdobe PDFView/Open
03_abstract.pdf87.69 kBAdobe PDFView/Open
04_acknowledgement.pdf89.23 kBAdobe PDFView/Open
05_contents.pdf123.02 kBAdobe PDFView/Open
06_list_of_symbols_and_abbreviations.pdf84.52 kBAdobe PDFView/Open
07_chapter1.pdf464.81 kBAdobe PDFView/Open
08_chapter2.pdf577.54 kBAdobe PDFView/Open
09_chapter3.pdf624.21 kBAdobe PDFView/Open
10_chapter4.pdf340.52 kBAdobe PDFView/Open
11_chapter5.pdf336.76 kBAdobe PDFView/Open
12_chapter6.pdf2 MBAdobe PDFView/Open
13_chapter7.pdf94.01 kBAdobe PDFView/Open
14_references.pdf132.82 kBAdobe PDFView/Open
15_publications.pdf89.71 kBAdobe PDFView/Open


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