Annotation-efficient, patch-based, explainable deep learning using curriculum method for breast cancer detection in screening mammography

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dc.contributor.authorCamurdan, Ozden
dc.contributor.authorTanyel, Toygar
dc.contributor.authorCerekci, Esma Aktufan
dc.contributor.authorAlis, Deniz
dc.contributor.authorMeltem, Emine
dc.contributor.authorDenizoglu, Nurper
dc.contributor.authorSeker, Mustafa Ege
dc.contributor.authorOksuz, Ilkay
dc.contributor.authorKaraarslan, Ercan
dc.date.accessioned2025-10-16T15:11:56Z
dc.date.issued2025
dc.identifier.doi10.1186/s13244-025-01922-w
dc.identifier.otherWOS:001449035400002
dc.identifier.urihttps://openaccess.acibadem.edu.tr/handle/11443/5126
dc.publisherSPRINGER WIEN
dc.sourceINSIGHTS INTO IMAGING
dc.subjectBreast cancer detection
dc.subjectCurriculum learning
dc.subjectDeep learning
dc.subjectExplainable artificial intelligence \\(XAI\\)
dc.subjectMammography
dc.titleAnnotation-efficient, patch-based, explainable deep learning using curriculum method for breast cancer detection in screening mammography
dc.typeArticle

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