Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/538737
Title: | A Novel Approach for Automatic Polyp Segmentation and Identification in Colonoscopy Images Using Deep Learning Techniques |
Researcher: | M N, Prashanth |
Guide(s): | Senthilkumar S |
Keywords: | Colonoscopy Images Computer Science Computer Science Software Engineering Deep Learning Techniques Engineering and Technology |
University: | Presidency University, Karnataka |
Completed Date: | 2023 |
Pagination: | |
URI: | http://hdl.handle.net/10603/538737 |
Appears in Departments: | School of Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 702.9 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 2.73 MB | Adobe PDF | View/Open | |
03_content.pdf | 147.68 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 105.83 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 467.07 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 392.67 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 166.74 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 497.28 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 243.79 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 1.38 MB | Adobe PDF | View/Open | |
11_annexures.pdf | 497.19 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 157.7 kB | Adobe PDF | View/Open |
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