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  2. Ph.D. Thesis
  3. Faculty Council of Engineering & Technology
  4. 2024 (Awarded Year)
Please use this identifier to cite or link to this item: http://20.198.91.3:8080/jspui/handle/123456789/7736
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dc.contributor.advisorSarkar, Gautam-
dc.contributor.advisorDhara, Ashis Kumar-
dc.contributor.authorSadhukhan, Sandip-
dc.date.accessioned2025-04-11T08:06:17Z-
dc.date.available2025-04-11T08:06:17Z-
dc.date.issued2024-
dc.date.submitted2024-
dc.identifier.otherTC3882-
dc.identifier.urihttp://20.198.91.3:8080/jspui/handle/123456789/7736-
dc.descriptionAwarded year: 2024en_US
dc.format.extentxxi, 91 p.en_US
dc.language.isoenen_US
dc.publisherJadavpur University, Kolkata, West Bengalen_US
dc.subjectDiabetic Retinopathy (DR)en_US
dc.subjectRetinal Fundus Imageen_US
dc.subjectConvolutional Neural Network (CNN)en_US
dc.subjectOptic Disc (OD) detection & segmentationen_US
dc.subjectArtery-vein discriminationen_US
dc.subjectAttention mechanismen_US
dc.titleDevelopment of algorithms for automatic computation of arteriolar-venular ratio in retinal fundus imagesen_US
dc.typeTexten_US
dc.departmentJadavpur university. Department of Electrical Engineeringen_US
Appears in Collections:2024 (Awarded Year)

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Abstract Sandip Sadhukhan.pdf92.85 kBAdobe PDFView/Open
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