Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/595461
Title: | an efficient age classification system acs using radiomic features from cxr lung images |
Researcher: | K KIRUTHIKA |
Guide(s): | Rashmita Khilar |
Keywords: | Computer Science Computer Science Information Systems Engineering and Technology |
University: | Saveetha University |
Completed Date: | 2024 |
Abstract: | newline |
Pagination: | |
URI: | http://hdl.handle.net/10603/595461 |
Appears in Departments: | Department of Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 254.93 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 460.99 kB | Adobe PDF | View/Open | |
03_content.pdf | 276.55 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 286.34 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 487.31 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 960.17 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 419.71 kB | Adobe PDF | View/Open | |
08_chapter4.pdf | 1.24 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 1.18 MB | Adobe PDF | View/Open | |
10_annexures.pdf | 240.13 kB | Adobe PDF | View/Open | |
11_chapter 6.pdf | 1.28 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 228.2 kB | Adobe PDF | View/Open |
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