Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/537756
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Electronics and Communication Engineeering | |
dc.date.accessioned | 2024-01-05T12:55:18Z | - |
dc.date.available | 2024-01-05T12:55:18Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/537756 | - |
dc.description.abstract | Available | |
dc.format.extent | xviii, 208 | |
dc.language | English | |
dc.relation | no.of references 181 | |
dc.rights | university | |
dc.title | Machine learning approach for detection and classification of diabetic retinopathy through fundus eye images | |
dc.title.alternative | - | |
dc.creator.researcher | Hardas, Minal Sudarshan | |
dc.subject.keyword | Diabetic retinopathy | |
dc.subject.keyword | Engineering | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Engineering Electrical and Electronic | |
dc.description.note | references p. 195 - 208 | |
dc.contributor.guide | Mathur, Sumit | |
dc.publisher.place | Udaipur | |
dc.publisher.university | Sir Padampat Singhania University | |
dc.publisher.institution | Department of Electronics and Communication Engineering | |
dc.date.registered | 2019 | |
dc.date.completed | 2023 | |
dc.date.awarded | 2023 | |
dc.format.dimensions | - | |
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
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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