Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/508642
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2023-08-25T10:50:16Z | - |
dc.date.available | 2023-08-25T10:50:16Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/508642 | - |
dc.description.abstract | newline | |
dc.format.extent | 127 pages | |
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Deep Learning Models Based Classification and Segmentation of Fibroid in Ultrasound Uterus Images | |
dc.title.alternative | ||
dc.creator.researcher | Dilna K T | |
dc.subject.keyword | Engineering | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Engineering Electrical and Electronic | |
dc.description.note | ||
dc.contributor.guide | Jude Hemanth D | |
dc.publisher.place | Coimbatore | |
dc.publisher.university | Karunya University | |
dc.publisher.institution | Department of Electronics and Communication Engineering | |
dc.date.registered | 2016 | |
dc.date.completed | 2022 | |
dc.date.awarded | 2023 | |
dc.format.dimensions | A4 | |
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Electronics and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_ first page.pdf | Attached File | 74.33 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 1.49 MB | Adobe PDF | View/Open | |
03_ table of contents.pdf | 223.52 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 281 kB | Adobe PDF | View/Open | |
05_chapter i.pdf | 390.94 kB | Adobe PDF | View/Open | |
06_chapter ii.pdf | 376.89 kB | Adobe PDF | View/Open | |
07_chapter iii.pdf | 1.29 MB | Adobe PDF | View/Open | |
08_chapter iv.pdf | 1.56 MB | Adobe PDF | View/Open | |
09_chapter v.pdf | 1.11 MB | Adobe PDF | View/Open | |
10_chapter vi.pdf | 543.53 kB | Adobe PDF | View/Open | |
11_annexures.pdf | 347.55 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 1.55 MB | Adobe PDF | View/Open |
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