Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/481722
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | A novel soft computing techniques based breast cancer classification system for health care applications | |
dc.date.accessioned | 2023-05-08T11:42:02Z | - |
dc.date.available | 2023-05-08T11:42:02Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/481722 | - |
dc.format.extent | xx,187 | |
dc.language | English | |
dc.relation | p.173-186 | |
dc.rights | university | |
dc.title | A novel soft computing techniques based breast cancer classification system for health care applications | |
dc.title.alternative | ||
dc.creator.researcher | Indra P | |
dc.subject.keyword | Soft computing | |
dc.subject.keyword | Breast cancer | |
dc.subject.keyword | Health | |
dc.description.note | ||
dc.contributor.guide | Kavithaa G | |
dc.publisher.place | Chennai | |
dc.publisher.university | Anna University | |
dc.publisher.institution | Faculty of Information and Communication Engineering | |
dc.date.registered | ||
dc.date.completed | 2023 | |
dc.date.awarded | 2023 | |
dc.format.dimensions | 21cm | |
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 13.09 kB | Adobe PDF | View/Open |
02_prelimpage.pdf | 2.54 MB | Adobe PDF | View/Open | |
03_contents.pdf | 157.79 kB | Adobe PDF | View/Open | |
04_abstracts.pdf | 144.46 kB | Adobe PDF | View/Open | |
05_chapter1.pdf | 750.53 kB | Adobe PDF | View/Open | |
06_chapter2.pdf | 248.01 kB | Adobe PDF | View/Open | |
07_chapter3.pdf | 780.13 kB | Adobe PDF | View/Open | |
08_chapter4.pdf | 768.51 kB | Adobe PDF | View/Open | |
09_chapter5.pdf | 1.01 MB | Adobe PDF | View/Open | |
10_chapter6.pdf | 988.91 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 59.4 kB | Adobe PDF | View/Open |
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