Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/537756
Title: | Machine learning approach for detection and classification of diabetic retinopathy through fundus eye images |
Researcher: | Hardas, Minal Sudarshan |
Guide(s): | Mathur, Sumit |
Keywords: | Diabetic retinopathy Engineering Engineering and Technology Engineering Electrical and Electronic |
University: | Sir Padampat Singhania University |
Completed Date: | 2023 |
Abstract: | Available |
Pagination: | xviii, 208 |
URI: | http://hdl.handle.net/10603/537756 |
Appears in Departments: | Department of Electronics and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 13.43 kB | Adobe PDF | View/Open |
02_preliminary pages.pdf | 184.92 kB | Adobe PDF | View/Open | |
03_content.pdf | 18.98 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 84.67 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 1.05 MB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 495.13 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 2.53 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 1.15 MB | Adobe PDF | View/Open | |
09_conclusion and future directions.pdf | 16.63 kB | Adobe PDF | View/Open | |
10_annexure.pdf | 1.96 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 29.1 kB | Adobe PDF | View/Open |
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