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http://hdl.handle.net/10603/273136
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DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2020-01-30T06:08:40Z | - |
dc.date.available | 2020-01-30T06:08:40Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/273136 | - |
dc.description.abstract | newline | |
dc.format.extent | xxvii, 216p. | |
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Segmentation and quantification of brain tissue in magnetic resonance imaging of human head scans for the detection of alzheimers disease | |
dc.title.alternative | ||
dc.creator.researcher | Priya, T | |
dc.subject.keyword | Brain Extraction | |
dc.subject.keyword | Denoising | |
dc.subject.keyword | Impulsive Noise | |
dc.subject.keyword | Localized Wiener Filter | |
dc.subject.keyword | Magnetic Resonace Imaging | |
dc.subject.keyword | Morphological Operations | |
dc.subject.keyword | MRI Brain Image | |
dc.subject.keyword | Outlier Detection | |
dc.description.note | Bibliography and Appendices Included | |
dc.contributor.guide | Kalavathi, P | |
dc.publisher.place | Dindigul | |
dc.publisher.university | The Gandhigram Rural Institute | |
dc.publisher.institution | Department of Computer Science and Applications | |
dc.date.registered | ||
dc.date.completed | 2019 | |
dc.date.awarded | ||
dc.format.dimensions | 35 cm. | |
dc.format.accompanyingmaterial | CD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science and Applications |
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