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Quantitative evaluation of Saliency-Based Explainable artif..:
Cerekci, Esma
;
Alis, Deniz
;
Denizoglu, Nurper
...
European Journal of Radiology. 173 (2024) - p. 111356 , 2024
Link:
https://doi.org/10.1016/j.ejrad.2024.111356
RT Journal T1
Quantitative evaluation of Saliency-Based Explainable artificial intelligence (XAI) methods in Deep Learning-Based mammogram analysis
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.ejrad.2024.111356&Exemplar=1&LAN=DE A1 Cerekci, Esma A1 Alis, Deniz A1 Denizoglu, Nurper A1 Camurdan, Ozden A1 Ege Seker, Mustafa A1 Ozer, Caner A1 Hansu, Muhammed Yusuf A1 Tanyel, Toygar A1 Oksuz, Ilkay A1 Karaarslan, Ercan PB Elsevier BV YR 2024 SN 0720-048X JF European Journal of Radiology VO 173 SP 111356 LK http://dx.doi.org/https://doi.org/10.1016/j.ejrad.2024.111356 DO https://doi.org/10.1016/j.ejrad.2024.111356 SF ELIB - SuUB Bremen
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