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/10603/564031
| Title: | Efficient Classification models to identify the Foetal organs from Ultra sound Doppler Scan Images using deep learning techniques |
| Researcher: | Sandhya Kumari, S |
| Guide(s): | Sandhya Rani, K |
| Keywords: | Immunology Life Sciences Transplantation |
| University: | Sri Padmavathi Womens University |
| Completed Date: | 2024 |
| Pagination: | 345 |
| URI: | http://hdl.handle.net/10603/564031 |
| Appears in Departments: | Department of Computer Science |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 01_title.pdf.pdf | Attached File | 280.81 kB | Adobe PDF | View/Open |
| 03_contents.pdf.pdf | 11.17 kB | Adobe PDF | View/Open | |
| 05_chapter1.pdf.pdf | 386.45 kB | Adobe PDF | View/Open | |
| 07_chapter3.pdf.pdf | 2.36 MB | Adobe PDF | View/Open | |
| 08_chapter4.pdf.pdf | 4.84 MB | Adobe PDF | View/Open | |
| 09_chapter5.pdf.pdf | 2.87 MB | Adobe PDF | View/Open | |
| 10_chapter6.pdf.pdf | 1.28 MB | Adobe PDF | View/Open | |
| 11_chapter7.pdf.pdf | 20.39 kB | Adobe PDF | View/Open | |
| 12_annexures.pdf.pdf | 119.76 kB | Adobe PDF | View/Open | |
| 80_recommendation.pdf | 300.81 kB | Adobe PDF | View/Open |
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