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/10603/234486
| Title: | Brain magnetic resonance image classification using multiple instance learning and tumor segmentation based on watershed algorithms |
| Researcher: | Benson C C |
| Guide(s): | Lajish V L |
| Keywords: | Engineering and Technology,Computer Science,Computer Science Artificial Intelligence Magnetic resonance imaging |
| University: | University of Calicut |
| Completed Date: | 2017 |
| Abstract: | newline |
| Pagination: | |
| URI: | http://hdl.handle.net/10603/234486 |
| Appears in Departments: | Department of Computer Science |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 01_preliminary pages.pdf | Attached File | 325.65 kB | Adobe PDF | View/Open |
| 02_certificate.pdf | 14.6 MB | Adobe PDF | View/Open | |
| 03_chapter 1&2.pdf | 1.14 MB | Adobe PDF | View/Open | |
| 04_chapter3.pdf | 231.7 kB | Adobe PDF | View/Open | |
| 05_chapter 4&5.pdf | 1.54 MB | Adobe PDF | View/Open | |
| 06_chapter6& 7.pdf | 795.92 kB | Adobe PDF | View/Open | |
| 07_chapter8.pdf | 112.89 kB | Adobe PDF | View/Open | |
| 08_references.pdf | 228.81 kB | Adobe PDF | View/Open |
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