Please use this identifier to cite or link to this item: http://thuvienso.dut.udn.vn/handle/DUT/16640
DC FieldValueLanguage
dc.contributor.advisorTS. Phạm, Công Thắngen_US
dc.contributor.authorDương, Văn Chơnen_US
dc.date.accessioned2025-12-31T12:13:07Z-
dc.date.available2025-12-31T12:13:07Z-
dc.date.issued2025-
dc.identifier.urihttp://thuvienso.dut.udn.vn/handle/DUT/16640-
dc.descriptionDA.TI.25.1306; 67 pages.en_US
dc.description.abstractIntroduction: Chap 1. Theoretical Background. Chap 2. Proposed Method. Chap 3. Implementation And Evaluationen_US
dc.language.isoenen_US
dc.publisherTrường Đại học Bách Khoa - Đại học Đà Nẵngen_US
dc.subjectMulti-Stage restorationen_US
dc.subjectDeep Learningen_US
dc.subjectCT Imagesen_US
dc.titleMulti-Stage restoration of noisy CT images using deep learningen_US
dc.typeĐồ ánen_US
item.languageiso639-1en-
item.fulltextCó toàn văn-
item.cerifentitytypePublications-
item.openairetypeĐồ án-
item.grantfulltextreserved-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:Khoa Công nghệ Thông tin - Khoa học dữ liệu và Trí tuệ nhân tạo
Files in This Item:
File Description SizeFormat Existing users please Login
4.TI.25.1306.DuongVanChon.pdfThuyết minh3.95 MBAdobe PDF
Show simple item record

CORE Recommender

Page view(s)

1
checked on Feb 3, 2026

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.