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/10603/598133
| Title: | A Paradigm for Detection of Covid 19 from 2D 3D Medical Imaging Using Deep Le |
| Researcher: | Dhumpati, R |
| Guide(s): | Tripathy, H K |
| Keywords: | Computer Science Computer Science Software Engineering Engineering and Technology |
| University: | KIIT University |
| Completed Date: | 2024 |
| Abstract: | Abstract is available newline |
| Pagination: | xiii,121p |
| URI: | http://hdl.handle.net/10603/598133 |
| Appears in Departments: | School of Computer Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 01_title.pdf | Attached File | 135.87 kB | Adobe PDF | View/Open |
| 02_prelim pages.pdf | 313.06 kB | Adobe PDF | View/Open | |
| 03_content.pdf | 118.02 kB | Adobe PDF | View/Open | |
| 04_abstract.pdf | 113.52 kB | Adobe PDF | View/Open | |
| 05_chapter 1.pdf | 610.89 kB | Adobe PDF | View/Open | |
| 06_chapter 2.pdf | 203.32 kB | Adobe PDF | View/Open | |
| 07_chapter 3.pdf | 1.81 MB | Adobe PDF | View/Open | |
| 08_chapter 4.pdf | 1.54 MB | Adobe PDF | View/Open | |
| 09_chapter 5.pdf | 1.44 MB | Adobe PDF | View/Open | |
| 10_annexures.pdf | 191.75 kB | Adobe PDF | View/Open | |
| 11_chapter 6.pdf | 144.29 kB | Adobe PDF | View/Open | |
| 80_recommendation.pdf | 279.73 kB | Adobe PDF | View/Open |
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