Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/365001
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2022-02-25T05:31:48Z | - |
dc.date.available | 2022-02-25T05:31:48Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/365001 | - |
dc.description.abstract | newline | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Intelligent segmentation technique for the effective identification of lung nodules in computed tomography images | |
dc.title.alternative | ||
dc.creator.researcher | Afshan Khanum | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | S Purushothaman | |
dc.publisher.place | Chennai | |
dc.publisher.university | Vels University | |
dc.publisher.institution | Department of CSE | |
dc.date.registered | ||
dc.date.completed | 2019 | |
dc.date.awarded | ||
dc.format.dimensions | ||
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of computer science & enigineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 302.88 kB | Adobe PDF | View/Open |
02_certificate.pdf | 265.65 kB | Adobe PDF | View/Open | |
03_contents.pdf | 358.62 kB | Adobe PDF | View/Open | |
04_list of tables.pdf | 285.77 kB | Adobe PDF | View/Open | |
05_list of figures.pdf | 348.5 kB | Adobe PDF | View/Open | |
06_acknowledgement.pdf | 263.77 kB | Adobe PDF | View/Open | |
07_chapter-1.pdf | 372.19 kB | Adobe PDF | View/Open | |
08_chapter-2.pdf | 2.04 MB | Adobe PDF | View/Open | |
09_chapter-3.pdf | 1.76 MB | Adobe PDF | View/Open | |
10_chapter-4.pdf | 2 MB | Adobe PDF | View/Open | |
11_chapter-5.pdf | 324.2 kB | Adobe PDF | View/Open | |
12_references.pdf | 459.33 kB | Adobe PDF | View/Open | |
13_publications.pdf | 2.23 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 612.91 kB | Adobe PDF | View/Open |
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