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

Cerekci, Esma; Alis, Deniz; Denizoglu, Nurper; Camurdan, Ozden; Seker, Mustafa Ege; Ozer, Caner; Hansu, Muhammed Yusuf; Tanyel, Toygar; Oksuz, Ilkay; Karaarslan, Ercan

doi:10.1016/j.ejrad.2024.111356

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

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Quantitative evaluation of Saliency Based Explainable artificial intelligence methods in Deep Learning Based mammogram analysis.pdf (4.75 MB)

Date

2024

Authors

Hansu, Muhammed Yusuf

Tanyel, Toygar

Oksuz, Ilkay

Karaarslan, Ercan

dc.identifier.doi

10.1016/j.ejrad.2024.111356

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WOS:001186826500001

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ELSEVIER IRELAND LTD

DOI

10.1016/j.ejrad.2024.111356

Keywords

Breast Cancer , Deep Learning , Mammogram , XAI

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https://openaccess.acibadem.edu.tr/handle/11443/5925

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

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