Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/370373
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dc.coverage.spatial
dc.date.accessioned2022-03-28T06:53:55Z-
dc.date.available2022-03-28T06:53:55Z-
dc.identifier.urihttp://hdl.handle.net/10603/370373-
dc.description.abstractIn recent years, enormous amount of digital images and videos are available, owing to newlinerapid advancement in technology. Areas as varied as art, medicine, natural scenes, newlinephotography, astronomy etc. have found significant applications of image processing. newlineAdvanced digital equipment and machines are being used to acquire imagery newlinenecessitating the need for systems to process the volume of images. This has paved the newlineway for building commercial as well as academic Content Based Image Retrieval newline(CBIR) systems. Information management became a keyword in all areas of application. newlineIntegrating information frameworks to medical systems is one of the major challenges of newlinethe past decade. Very few works have attempted and tried to address the problem which newlineis of great significance and holds immense potential to serve the needs of our society. newlineThe research area is still in its nascent stage and there is lots of scope for innovation and newlineimprovisation. Medical information management can solve several problems like aiding newlinethe medical practitioners and experts in diagnosing a pathology, monitor the progress of newlinea disease and give valuable information in devising a treatment plan based on past case newlinehistories. newline
dc.format.extentAll Pages
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleMultimodal Information Framework for Image Retrieval from Brain MRIs
dc.title.alternative
dc.creator.researcherSarathi, Mangipudi Partha
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.description.note
dc.contributor.guideAnsari, M. A.
dc.publisher.placeGreater Noida
dc.publisher.universityGautam Buddha University
dc.publisher.institutionDepartment of Electrical Engineering
dc.date.registered2011
dc.date.completed2016
dc.date.awarded2016
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Electrical Engineering

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01_title.pdfAttached File750.19 kBAdobe PDFView/Open
02_declaration.pdf479.2 kBAdobe PDFView/Open
03_certifiacate.pdf457.61 kBAdobe PDFView/Open
04_acknowledgement.pdf230.53 kBAdobe PDFView/Open
05_abstract.pdf234.54 kBAdobe PDFView/Open
06_table_of_contents.pdf395.62 kBAdobe PDFView/Open
07_list_of_figures.pdf237.05 kBAdobe PDFView/Open
08_list_of_tables.pdf226.79 kBAdobe PDFView/Open
09_list_of_abbreviation.pdf227.14 kBAdobe PDFView/Open
10_list_of_symbols.pdf226.86 kBAdobe PDFView/Open
11_chapter1.pdf458.98 kBAdobe PDFView/Open
12_chapter2.pdf673.2 kBAdobe PDFView/Open
13_chapter3.pdf1.64 MBAdobe PDFView/Open
14_chapter4.pdf828.25 kBAdobe PDFView/Open
15_chapter5.pdf1.33 MBAdobe PDFView/Open
16_chapter6.pdf1.42 MBAdobe PDFView/Open
17_chapter7.pdf415.16 kBAdobe PDFView/Open
18_references.pdf456.12 kBAdobe PDFView/Open
19_list_of_publication.pdf363.1 kBAdobe PDFView/Open
80_recommendation.pdf415.16 kBAdobe PDFView/Open


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