Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/386876
Full metadata record
DC Field | Value | Language |
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dc.coverage.spatial | ||
dc.date.accessioned | 2022-06-16T05:30:02Z | - |
dc.date.available | 2022-06-16T05:30:02Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/386876 | - |
dc.description.abstract | In 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.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Design and Implementation of Image Processing Techniques for Diagnosing Benign Tumor Using Knowledge Based Tools | |
dc.title.alternative | ||
dc.creator.researcher | Harendra Singh | |
dc.subject.keyword | Engineering | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Engineering Electrical and Electronic | |
dc.description.note | ||
dc.contributor.guide | Rajeev Ratan | |
dc.publisher.place | Haryana | |
dc.publisher.university | MVN University,Palwal | |
dc.publisher.institution | Electronics and Communication Engineering | |
dc.date.registered | 2017 | |
dc.date.completed | 2022 | |
dc.date.awarded | ||
dc.format.dimensions | ||
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Electronics & Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
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80_recommendation.pdf | Attached File | 43.61 kB | Adobe PDF | View/Open |
abstract.pdf | 10.17 kB | Adobe PDF | View/Open | |
acknowledgement.pdf | 346.92 kB | Adobe PDF | View/Open | |
chapter 1.pdf | 1.03 MB | Adobe PDF | View/Open | |
chapter 2.pdf | 1.03 MB | Adobe PDF | View/Open | |
chapter 3.pdf | 1.21 MB | Adobe PDF | View/Open | |
chapter 4.pdf | 631.42 kB | Adobe PDF | View/Open | |
chapter 5.pdf | 9.95 kB | Adobe PDF | View/Open | |
cirtificate.pdf | 713.23 kB | Adobe PDF | View/Open | |
cover page.pdf | 13.06 kB | Adobe PDF | View/Open | |
list of fig+table+acrom.pdf | 136.64 kB | Adobe PDF | View/Open | |
table of contents.pdf | 19.86 kB | Adobe PDF | View/Open |
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