Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/202849
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Electronics | |
dc.date.accessioned | 2018-05-02T09:51:10Z | - |
dc.date.available | 2018-05-02T09:51:10Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/202849 | - |
dc.description.abstract | Radiology is a vast subject and requires more knowledge and understanding for exact detection of tumor in medical science. Thus the need for tumor detection system overcomes the shortage of skilled radiologists. Biomedical image processing, using Magnetic Resonance Imaging makes newlinethe task of detection and localization of brain tumors ease. In this work, a brain tumor segmentation and detection approach has been designed using MRI sequence images as input image for defining the tumor region. newline | |
dc.format.extent | 114p. | |
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Brain Tumor Detection and Analysis using MRI Multi Slice Sequences | |
dc.title.alternative | ||
dc.creator.researcher | Mallikarjun | |
dc.subject.keyword | Brain Tumor | |
dc.subject.keyword | MRI | |
dc.description.note | References 93 - 100p. | |
dc.contributor.guide | Krishnamurthy N ; Manjunath Ramachandra | |
dc.publisher.place | Bengaluru | |
dc.publisher.university | Jain University | |
dc.publisher.institution | Department of Electronics and Communication Engineering | |
dc.date.registered | 12/02/2015 | |
dc.date.completed | 14/11/2017 | |
dc.date.awarded | 16/12/2017 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Electronics Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01.title page.pdf | Attached File | 20.9 kB | Adobe PDF | View/Open |
02.declaration.pdf | 9.83 kB | Adobe PDF | View/Open | |
03.certificate.pdf | 58.66 kB | Adobe PDF | View/Open | |
04.acknowledgements.pdf | 10.64 kB | Adobe PDF | View/Open | |
05.contents.pdf | 12.4 kB | Adobe PDF | View/Open | |
06.list of figures, tables & abbreviations.pdf | 23.64 kB | Adobe PDF | View/Open | |
07.abstract.pdf | 64.34 kB | Adobe PDF | View/Open | |
08.chapter 1.pdf | 242.08 kB | Adobe PDF | View/Open | |
09.chapter 2.pdf | 295.17 kB | Adobe PDF | View/Open | |
10.chapter 3.pdf | 157.94 kB | Adobe PDF | View/Open | |
10.chapter 4.pdf | 130.2 kB | Adobe PDF | View/Open | |
11.chapter 5.pdf | 2.56 MB | Adobe PDF | View/Open | |
12.chapter 6.pdf | 532.27 kB | Adobe PDF | View/Open | |
13.chapter 7.pdf | 11.57 kB | Adobe PDF | View/Open | |
14.references.pdf | 877.27 kB | Adobe PDF | View/Open |
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