A hybrid machine learning approach for brain tumor detection and classification
| dc.contributor.guide | Santhi P | |
| dc.coverage.spatial | A hybrid machine learning approach for brain tumor detection and classification | |
| dc.creator.researcher | Keerthi S | |
| dc.date.accessioned | 2024-05-31T05:01:06Z | |
| dc.date.available | 2024-05-31T05:01:06Z | |
| dc.date.awarded | 2024 | |
| dc.date.completed | 2024 | |
| dc.date.registered | ||
| dc.description.note | ||
| dc.format.accompanyingmaterial | DVD | |
| dc.format.dimensions | 21cm | |
| dc.format.extent | xvi,187p. | |
| dc.identifier.uri | http://hdl.handle.net/10603/568168 | |
| dc.language | English | |
| dc.publisher.institution | Faculty of Information and Communication Engineering | |
| dc.publisher.place | Chennai | |
| dc.publisher.university | Anna University | |
| dc.relation | A hybrid machine learning approach for brain tumor detection and classification | |
| dc.rights | university | |
| dc.source.university | University | |
| dc.subject.keyword | Computer Science | |
| dc.subject.keyword | Computer Science Information Systems | |
| dc.subject.keyword | Engineering and Technology | |
| dc.title | A hybrid machine learning approach for brain tumor detection and classification | |
| dc.title.alternative | ||
| dc.type.degree | Ph.D. |
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