Logo
Please use this identifier to cite or link to this item: http://20.198.91.3:8080/jspui/handle/123456789/8923
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorSarkar, Ram-
dc.contributor.authorDas, Arpita-
dc.date.accessioned2025-10-13T10:21:13Z-
dc.date.available2025-10-13T10:21:13Z-
dc.date.issued2022-
dc.date.submitted2022-
dc.identifier.otherDC3554-
dc.identifier.urihttp://20.198.91.3:8080/jspui/handle/123456789/8923-
dc.format.extentviii, 39 p.en_US
dc.language.isoenen_US
dc.publisherJadavpur University, Kolkata, West Bengalen_US
dc.subjectThe SEERen_US
dc.subjectWHO (World Health Organization)en_US
dc.titleAn ensemble of deep learning models for detecting invasive ductal carcinoma from Histopathological imageen_US
dc.typeTexten_US
dc.departmentJadavpur University, Dept. of Computer Science and Engineeringen_US
Appears in Collections:Dissertations

Files in This Item:
File Description SizeFormat 
M.Tech (Dept.of Computer Science and Engineering) Arpita Das.pdf1.25 MBAdobe PDFView/Open


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