Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/386876
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dc.date.accessioned2022-06-16T05:30:02Z-
dc.date.available2022-06-16T05:30:02Z-
dc.identifier.urihttp://hdl.handle.net/10603/386876-
dc.description.abstractIn this fast-changing modern era, medical image processing tools are the backbone of medical science for more precise and accurate health-related monitoring and timely effective treatment to patients. Image enhancement, image compression, and image restoration are the main image processing tools in which image enhancement techniques are widely used in image segmentation because it enhances the most important features of the processed image. The medical image processing tools provide accurate information related to human body organs without any surgery. newlineIn this research work, an automatic method is proposed using image processing to segment, feature extraction, and classify the brain tumor from magnetic resonance imaging (MRI) images. MRI scans also provide a lot of information related to the anatomical structure of brain tumor tissues, but for a doctor or radiologist, to diagnose and exact localization of the brain tumor tissues in an MRI image is not an easy task. newline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDesign and Implementation of Image Processing Techniques for Diagnosing Benign Tumor Using Knowledge Based Tools
dc.title.alternative
dc.creator.researcherHarendra Singh
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.description.note
dc.contributor.guideRajeev Ratan
dc.publisher.placeHaryana
dc.publisher.universityMVN University,Palwal
dc.publisher.institutionElectronics and Communication Engineering
dc.date.registered2017
dc.date.completed2022
dc.date.awarded
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Electronics & Communication Engineering

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80_recommendation.pdfAttached File43.61 kBAdobe PDFView/Open
abstract.pdf10.17 kBAdobe PDFView/Open
acknowledgement.pdf346.92 kBAdobe PDFView/Open
chapter 1.pdf1.03 MBAdobe PDFView/Open
chapter 2.pdf1.03 MBAdobe PDFView/Open
chapter 3.pdf1.21 MBAdobe PDFView/Open
chapter 4.pdf631.42 kBAdobe PDFView/Open
chapter 5.pdf9.95 kBAdobe PDFView/Open
cirtificate.pdf713.23 kBAdobe PDFView/Open
cover page.pdf13.06 kBAdobe PDFView/Open
list of fig+table+acrom.pdf136.64 kBAdobe PDFView/Open
table of contents.pdf19.86 kBAdobe PDFView/Open


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