Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/147109
Full metadata record
DC FieldValueLanguage
dc.creatorSara Isabel Pires de Oliveira
dc.date.accessioned2026-01-13T10:34:27Z-
dc.date.available2026-01-13T10:34:27Z-
dc.date.issued2022-12-19
dc.date.submitted2023-01-05
dc.identifier.othersigarra:599993
dc.identifier.urihttps://hdl.handle.net/10216/147109-
dc.language.isoeng
dc.rightsopenAccess
dc.subjectEngenharia electrotécnica, electrónica e informática
dc.subjectElectrical engineering, Electronic engineering, Information engineering
dc.titleCancer diagnosis in digital pathology: learning from label scarcity
dc.typeTese
dc.contributor.uportoFaculdade de Engenharia
dc.identifier.doi10.34626/rww2-qb43
dc.subject.fosCiências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática
dc.subject.fosEngineering and technology::Electrical engineering, Electronic engineering, Information engineering
thesis.degree.disciplinePrograma Doutoral em Engenharia Electrotécnica e de Computadores
thesis.degree.grantorFaculdade de Engenharia
thesis.degree.grantorUniversidade do Porto
thesis.degree.level2
Appears in Collections:FEUP - Tese

Files in This Item:
File Description SizeFormat 
599993.pdfCancer diagnosis in digital pathology: learning from label scarcity51.84 MBAdobe PDFThumbnail
View/Open


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