Shodhganga : a reservoir of Indian theses @ INFLIBNET
The Shodhganga@INFLIBNET Centre provides a platform for research students to deposit their Ph.D. theses and make it available to the entire scholarly community in open access.
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/448355
| Title: | Effective Feature Extraction For Early Detection And Classification Of Multimodality Breast Cancer Images Using Machine Learning Algorithms |
| Researcher: | D.V.Manjula |
| Guide(s): | L.Sumalatha |
| Keywords: | Computer Science Computer Science Software Engineering Engineering and Technology |
| University: | Jawaharlal Nehru Technological University, Kakinada |
| Completed Date: | 2022 |
| Abstract: | newline |
| Pagination: | |
| URI: | http://hdl.handle.net/10603/448355 |
| Appears in Departments: | Department of Computer Science |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 01.pdf | Attached File | 190.99 kB | Adobe PDF | View/Open |
| 02.pdf | 197.5 kB | Adobe PDF | View/Open | |
| 03.pdf | 99.58 kB | Adobe PDF | View/Open | |
| 04.pdf | 93.9 kB | Adobe PDF | View/Open | |
| 05.pdf | 1.67 MB | Adobe PDF | View/Open | |
| 06.pdf | 1.57 MB | Adobe PDF | View/Open | |
| 10.pdf | 323.73 kB | Adobe PDF | View/Open | |
| 80_recommendation.pdf | 194.46 kB | Adobe PDF | View/Open |
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