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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/19375
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dc.contributor.authorVyas, Abhishek-
dc.date.accessioned2025-09-16T02:29:30Z-
dc.date.available2025-09-16T02:29:30Z-
dc.date.issued2025-07-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/19375-
dc.identifier.urihttp://hdl.handle.net/10603/658739-
dc.description.sponsorshipUnder the Supervision of Prof. Sundaresan Raman and Dr. Rajiv Ramanen_US
dc.description.urihttp://hdl.handle.net/10603/658739-
dc.language.isoenen_US
dc.publisherBITS PILANI, Pilani campusen_US
dc.subjectComputer scienceen_US
dc.subjectArtificial intelligenceen_US
dc.subjectDiabetic Retinopathyen_US
dc.titleArtificial intelligence techniques for enhancing screening, analysis, progression, prediction, and retinal biomarker assessment of diabetic retinopathyen_US
dc.typeThesisen_US
Appears in Collections:Department of Computer Science and Information Systems

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