Keywords: Radiomics, Cancer, Inter-site reproducibility, Deep Learning, bi-parametric MRIIn the current study, we aimed to explore reproducibility of various hand-crafted radiomics features, and deep learning autoencoder-based features within Gleason Grade Groups (GGG) using MULTI-IMPROD trial data. Differences between sites were evaluated with ANOVA test, corrected for GGG group, and multi-class AUC for GGG. We explored if systematic differences exist between the four centers taking part in the trial with conventionally used radiomic features. The results show differences between modalities, feature groups, and when intensity harmonization is applied for ADC.
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