| dc.contributor.author |
Vyas, Abhishek |
|
| dc.date.accessioned |
2025-09-16T02:29:30Z |
|
| dc.date.available |
2025-09-16T02:29:30Z |
|
| dc.date.issued |
2025-07 |
|
| dc.identifier.uri |
http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/19375 |
|
| dc.identifier.uri |
http://hdl.handle.net/10603/658739 |
|
| dc.description.sponsorship |
Under the Supervision of Prof. Sundaresan Raman and Dr. Rajiv Raman |
en_US |
| dc.description.uri |
http://hdl.handle.net/10603/658739 |
|
| dc.language.iso |
en |
en_US |
| dc.publisher |
BITS PILANI, Pilani campus |
en_US |
| dc.subject |
Computer science |
en_US |
| dc.subject |
Artificial intelligence |
en_US |
| dc.subject |
Diabetic Retinopathy |
en_US |
| dc.title |
Artificial intelligence techniques for enhancing screening, analysis, progression, prediction, and retinal biomarker assessment of diabetic retinopathy |
en_US |
| dc.type |
Thesis |
en_US |