Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/416737
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2022-11-03T05:43:44Z | - |
dc.date.available | 2022-11-03T05:43:44Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/416737 | - |
dc.description.abstract | newline | |
dc.format.extent | XIII | |
dc.language | English | |
dc.relation | No of References 154 | |
dc.rights | university | |
dc.title | Image reconstruction frameworks using deep learning for content based medical image retrieval | |
dc.title.alternative | No | |
dc.creator.researcher | Pinapatruni Rohini | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Information Systems | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | C Shoba Bindu | |
dc.publisher.place | Anantapuram | |
dc.publisher.university | Jawaharlal Nehru Technological University, Anantapuram | |
dc.publisher.institution | Department of Computer Science and Engineering | |
dc.date.registered | 2016 | |
dc.date.completed | 2021 | |
dc.date.awarded | 2022 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science and Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 55.41 kB | Adobe PDF | View/Open |
02_certificate&declaration.pdf | 119.79 kB | Adobe PDF | View/Open | |
04_contents.pdf | 63.75 kB | Adobe PDF | View/Open | |
06_abstract.pdf | 34.55 kB | Adobe PDF | View/Open | |
08_chapter 1.pdf | 607.57 kB | Adobe PDF | View/Open | |
09_chapter 2.pdf | 312.39 kB | Adobe PDF | View/Open | |
10_chapter 3.pdf | 554.9 kB | Adobe PDF | View/Open | |
11_chapter 4.pdf | 653.68 kB | Adobe PDF | View/Open | |
12_chapter 5.pdf | 739.08 kB | Adobe PDF | View/Open | |
15_references.pdf | 117.64 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 63.96 kB | Adobe PDF | View/Open |
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