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http://hdl.handle.net/10603/342862
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2021-10-01T11:36:40Z | - |
dc.date.available | 2021-10-01T11:36:40Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/342862 | - |
dc.description.abstract | newline | |
dc.format.extent | xxi, 158p. | |
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | New methods for segmentation of hippocampus from T2 W magnetic resonance images MRI of human head scans | |
dc.title.alternative | ||
dc.creator.researcher | Genish, T. | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Hippocampus | |
dc.subject.keyword | Image Processing | |
dc.subject.keyword | Imaging Science and Photographic Technology | |
dc.subject.keyword | MRI | |
dc.subject.keyword | Segmentation | |
dc.description.note | Bibliography and Appendices Included | |
dc.contributor.guide | Somasundaram, K. | |
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 | 2016 | |
dc.date.awarded | ||
dc.format.dimensions | 35cm. | |
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science and Applications |
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