Quantitative evaluation of Saliency-Based Explainable artificial intelligence (XAI) methods in Deep Learning-Based mammogram analysis

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dc.contributor.authorCerekci, Esma
dc.contributor.authorAlis, Deniz
dc.contributor.authorDenizoglu, Nurper
dc.contributor.authorCamurdan, Ozden
dc.contributor.authorSeker, Mustafa Ege
dc.contributor.authorOzer, Caner
dc.contributor.authorHansu, Muhammed Yusuf
dc.contributor.authorTanyel, Toygar
dc.contributor.authorOksuz, Ilkay
dc.contributor.authorKaraarslan, Ercan
dc.date.accessioned2025-10-16T15:13:43Z
dc.date.issued2024
dc.identifier.doi10.1016/j.ejrad.2024.111356
dc.identifier.otherWOS:001186826500001
dc.identifier.urihttps://openaccess.acibadem.edu.tr/handle/11443/5925
dc.publisherELSEVIER IRELAND LTD
dc.sourceEUROPEAN JOURNAL OF RADIOLOGY
dc.subjectBreast Cancer
dc.subjectDeep Learning
dc.subjectMammogram
dc.subjectXAI
dc.titleQuantitative evaluation of Saliency-Based Explainable artificial intelligence (XAI) methods in Deep Learning-Based mammogram analysis
dc.typeArticle

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