Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/564573
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2024-05-20T06:23:28Z | - |
dc.date.available | 2024-05-20T06:23:28Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/564573 | - |
dc.description.abstract | newline | |
dc.format.extent | 124p | |
dc.language | English | |
dc.relation | 108 | |
dc.rights | university | |
dc.title | Automatic detection of cervical cancer nuclei in cytology pap smear images using improved traditional based models and deep learning approaches | |
dc.title.alternative | ||
dc.creator.researcher | S Jaya | |
dc.subject.keyword | Automatic detection of cervical cancer nuclei in cytology | |
dc.subject.keyword | based models and deep learning approaches | |
dc.subject.keyword | pap smear images using improved traditional | |
dc.description.note | 5074 | |
dc.contributor.guide | M Latha | |
dc.publisher.place | Salem | |
dc.publisher.university | Periyar University | |
dc.publisher.institution | Department of Computer Science | |
dc.date.registered | 2018 | |
dc.date.completed | 2024 | |
dc.date.awarded | 2024 | |
dc.format.dimensions | 92mm | |
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
10_annexures.pdf | Attached File | 2.77 MB | Adobe PDF | View/Open |
1_title.pdf | 45.85 kB | Adobe PDF | View/Open | |
2_preliminary pages.pdf | 514.27 kB | Adobe PDF | View/Open | |
3_content.pdf | 155.45 kB | Adobe PDF | View/Open | |
4_abstract.pdf | 215.07 kB | Adobe PDF | View/Open | |
5_chapter 1.pdf | 389.92 kB | Adobe PDF | View/Open | |
6_chapter 2.pdf | 130.57 kB | Adobe PDF | View/Open | |
7_chapter 3.pdf | 1.03 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 95.5 kB | Adobe PDF | View/Open | |
8_chapter 4.pdf | 1.35 MB | Adobe PDF | View/Open | |
9_chapter 5 to 7.pdf | 702.34 kB | Adobe PDF | View/Open |
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