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http://hdl.handle.net/10603/49510
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DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Brain tumor classification using orthogonal polynomial based composite operators for mri | en_US |
dc.date.accessioned | 2015-09-15T08:28:18Z | - |
dc.date.available | 2015-09-15T08:28:18Z | - |
dc.date.issued | 2015-09-15 | - |
dc.identifier.uri | http://hdl.handle.net/10603/49510 | - |
dc.description.abstract | Tumor identification is a major challenge in the field of medical newlinescience The fatal consequences of the disease can be averted if detected newlineearly Tumor in the brain is inherently serious and poses a threat to life Its newlinethreat level depends on a combination of various factors like the type of newlinetumor its location in the brain its size and its developmental stage As the newlinebrain is well protected by the skull an early detection technique is necessary newlinefor the identification and treatment of brain tumor Magnetic resonance imaging MRI is a powerful medical imaging newlinemodality to produce highresolution images with good contrast of the newlinedifferent biological soft tissue types newline newline | en_US |
dc.format.extent | xxxii, 195p. | en_US |
dc.language | English | en_US |
dc.relation | p.178-194 | en_US |
dc.rights | university | en_US |
dc.title | Brain tumor classification using orthogonal polynomial based composite operators for mri | en_US |
dc.title.alternative | en_US | |
dc.creator.researcher | Meenakshi R | en_US |
dc.subject.keyword | Brain tumor | en_US |
dc.subject.keyword | Information and communication engineering | en_US |
dc.subject.keyword | orthogonal polynomial | en_US |
dc.description.note | Reference p.178-194 | en_US |
dc.contributor.guide | Anandhakumar P | en_US |
dc.publisher.place | Chennai | en_US |
dc.publisher.university | Anna University | en_US |
dc.publisher.institution | Faculty of Information and Communication Engineering | en_US |
dc.date.registered | n.d. | en_US |
dc.date.completed | 01/02/2014 | en_US |
dc.date.awarded | 28/02/2014 | en_US |
dc.format.dimensions | 23cm | en_US |
dc.format.accompanyingmaterial | None | en_US |
dc.source.university | University | en_US |
dc.type.degree | Ph.D. | en_US |
Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 142.73 kB | Adobe PDF | View/Open |
02_certificate.pdf | 5.59 kB | Adobe PDF | View/Open | |
03_abstract.pdf | 13.1 kB | Adobe PDF | View/Open | |
04_acknowledgement.pdf | 6.12 kB | Adobe PDF | View/Open | |
05_contents.pdf | 51.01 kB | Adobe PDF | View/Open | |
06_chapter 1.pdf | 3.76 MB | Adobe PDF | View/Open | |
07_chapter 2.pdf | 42.81 kB | Adobe PDF | View/Open | |
08_chapter 3.pdf | 1.49 MB | Adobe PDF | View/Open | |
09_chapter 4.pdf | 1.3 MB | Adobe PDF | View/Open | |
10_chapter 5.pdf | 1.37 MB | Adobe PDF | View/Open | |
11_chapter 6.pdf | 283.36 kB | Adobe PDF | View/Open | |
12_chapter 7.pdf | 34.3 kB | Adobe PDF | View/Open | |
13_references.pdf | 51.66 kB | Adobe PDF | View/Open | |
14_publications.pdf | 6.99 kB | Adobe PDF | View/Open |
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