Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/335612
Title: | An automated algorithm to extract features from retinal fundus images to detect diabetic retinopathy and assess its severity using deep learning |
Researcher: | Anilkumar K R |
Guide(s): | Meenakshy K |
Keywords: | Engineering Engineering and Technology Engineering Electrical and Electronic |
University: | University of Calicut |
Completed Date: | 2020 |
Abstract: | newline |
Pagination: | |
URI: | http://hdl.handle.net/10603/335612 |
Appears in Departments: | Govt. Engineering College, Trissur |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_titlepage.pdf | Attached File | 185.68 kB | Adobe PDF | View/Open |
02_certificate.pdf | 706.02 kB | Adobe PDF | View/Open | |
03_preliminary pages.pdf | 957.95 kB | Adobe PDF | View/Open | |
04_chapter1.pdf | 1.12 MB | Adobe PDF | View/Open | |
05_chapter2.pdf | 8 MB | Adobe PDF | View/Open | |
06_chapter3.pdf | 724.43 kB | Adobe PDF | View/Open | |
07_chapter4.pdf | 1.02 MB | Adobe PDF | View/Open | |
08_chapter5.pdf | 870.8 kB | Adobe PDF | View/Open | |
09_chapter6.pdf | 1.01 MB | Adobe PDF | View/Open | |
10_chapter7.pdf | 148.42 kB | Adobe PDF | View/Open | |
11_references.pdf | 185.45 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 126.96 kB | Adobe PDF | View/Open |
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