efficient deep learning methods for diagnosing covid and chronic liver diseases using ct scan images
| dc.contributor.guide | JAICHANDRAN R | |
| dc.coverage.spatial | ||
| dc.creator.researcher | SARANYA R | |
| dc.date.accessioned | 2025-06-23T04:13:18Z | |
| dc.date.available | 2025-06-23T04:13:18Z | |
| dc.date.awarded | 2025 | |
| dc.date.completed | 2025 | |
| dc.date.registered | 2021 | |
| dc.description.abstract | newline | |
| dc.description.note | ||
| dc.format.accompanyingmaterial | DVD | |
| dc.format.dimensions | ||
| dc.format.extent | ||
| dc.identifier.researcherid | ||
| dc.identifier.uri | http://hdl.handle.net/10603/647758 | |
| dc.language | English | |
| dc.publisher.institution | Department of Computer Science and Engineering | |
| dc.publisher.place | Salem | |
| dc.publisher.university | Vinayaka Missions Research Foundation, Salem | |
| dc.relation | ||
| dc.rights | university | |
| dc.source.university | University | |
| dc.subject.keyword | Computer Science | |
| dc.subject.keyword | Computer Science Software Engineering | |
| dc.subject.keyword | Engineering and Technology | |
| dc.title | efficient deep learning methods for diagnosing covid and chronic liver diseases using ct scan images | |
| dc.title.alternative | ||
| dc.type.degree | Ph.D. |
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