Logo
  1. IR@JU
  2. Ph.D. Thesis
  3. Faculty Council of Engineering & Technology
  4. 2025 (Awarded Year)
Please use this identifier to cite or link to this item: http://20.198.91.3:8080/jspui/handle/123456789/9686
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorDas, Nibaran, guide-
dc.contributor.authorDey, Soumyajyoti-
dc.date.accessioned2026-04-08T10:39:00Z-
dc.date.available2026-04-08T10:39:00Z-
dc.date.issued2025-
dc.date.submitted2025-
dc.identifier.otherTC4377-
dc.identifier.urihttp://20.198.91.3:8080/jspui/handle/123456789/9686-
dc.descriptionSupervisor(s): Das, Nibaran (Dept. of Computer Science & Engineering, J.U.); Awarded year: 2025en_US
dc.format.extentxix, 137 p.en_US
dc.language.isoenen_US
dc.publisherJadavpur University, Kolkata, West Bengalen_US
dc.subjectDuctal Carcinomaen_US
dc.subjectDeep Learningen_US
dc.subjectMedical Image Processingen_US
dc.titleDevelopment of an automated system for diagnosis of ductal carcinoma using deep learning techniquesen_US
dc.typeTexten_US
dc.departmentJadavpur university. Department of Computer Science and Engineeringen_US
Appears in Collections:2025 (Awarded Year)

Files in This Item:
File Description SizeFormat 
PhD Thesis (CSE) Soumyajyoti Dey.pdf95.58 MBAdobe PDFView/Open
Abstract Soumyajyoti Dey.pdf87.49 kBAdobe PDFView/Open
Show simple item record


Items in IR@JU are protected by copyright, with all rights reserved, unless otherwise indicated.