Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/341152
Title: | Automatic Screening and Grading of Choroidal Neovascularization and Diabetic Retinopathy using Artificial Intelligence |
Researcher: | Anitha G. |
Guide(s): | Mohamed Ismail M. |
Keywords: | Engineering Engineering and Technology Instruments and Instrumentation |
University: | B S Abdur Rahman Crescent Institute of Science and Technology |
Completed Date: | 2021 |
Pagination: | |
URI: | http://hdl.handle.net/10603/341152 |
Appears in Departments: | Department of Electronics & Instrumentation Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
06.abstract.pdf | Attached File | 137.83 kB | Adobe PDF | View/Open |
07.table of contents.pdf | 203.31 kB | Adobe PDF | View/Open | |
08.chapter_1.pdf | 273.21 kB | Adobe PDF | View/Open | |
09.chapter_2.pdf | 408.91 kB | Adobe PDF | View/Open | |
10.chapter_3.pdf | 867.93 kB | Adobe PDF | View/Open | |
11.chapter_4.pdf | 483.81 kB | Adobe PDF | View/Open | |
12.chapter_5.pdf | 711.91 kB | Adobe PDF | View/Open | |
13.chapter_6.pdf | 149.91 kB | Adobe PDF | View/Open | |
15.references.pdf | 212.26 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 160.9 kB | Adobe PDF | View/Open |
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