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/10603/439438
| Title: | Unsupervised approaches for quality improvement of structural brain magnetic resonance image |
| Researcher: | Kaur, Prabhjot |
| Guide(s): | Sao, Anil Kumar |
| Keywords: | Engineering Engineering and Technology Engineering Electrical and Electronic |
| University: | Indian Institute of Technology Mandi |
| Completed Date: | 2022 |
| Abstract: | newline |
| Pagination: | xvii, 152 |
| URI: | http://hdl.handle.net/10603/439438 |
| Appears in Departments: | School of Computing and Electrical Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 01_ tiltle.pdf | Attached File | 199.4 kB | Adobe PDF | View/Open |
| 02_prelim page.pdf | 2.53 MB | Adobe PDF | View/Open | |
| 03 _content.pdf | 8.43 MB | Adobe PDF | View/Open | |
| 04 _abstract.pdf | 806.51 kB | Adobe PDF | View/Open | |
| 05 _chapter 1.pdf | 12.29 MB | Adobe PDF | View/Open | |
| 06 _chapter 2.pdf | 7.09 MB | Adobe PDF | View/Open | |
| 07 _chapter 3.pdf | 14.63 MB | Adobe PDF | View/Open | |
| 08_chapter 4.pdf | 6.65 MB | Adobe PDF | View/Open | |
| 09_chapter 5.pdf | 4.35 MB | Adobe PDF | View/Open | |
| 10_chapter 6.pdf | 6.18 MB | Adobe PDF | View/Open | |
| 11_annexures.pdf | 2.35 MB | Adobe PDF | View/Open | |
| 80_recommendation.pdf | 645.02 kB | Adobe PDF | View/Open |
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