Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/432546
Title: | Analysis of machine learning approaches for glaucoma classification from color fundus images |
Researcher: | Poonguzhali, E |
Guide(s): | Malaya Kumar, Nath |
Keywords: | Convolutional neural network Deep learning Engineering Engineering and Technology Engineering Biomedical Ensemble learning Fundus image Fuzzy c means clustering Pre-trained model Transfer learning |
University: | National Institute of Technology Puducherry |
Completed Date: | 2022 |
Abstract: | Available |
Pagination: | xxii, 136p. |
URI: | http://hdl.handle.net/10603/432546 |
Appears in Departments: | Electronics and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 613.25 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 986.29 kB | Adobe PDF | View/Open | |
03_content.pdf | 60.66 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 58.41 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 5.08 MB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 5.96 MB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 6.35 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 664.62 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 4.35 MB | Adobe PDF | View/Open | |
10_annexures.pdf | 242.94 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 710.24 kB | Adobe PDF | View/Open |
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