As these models showed high performance at assessing cancer presence and BCR risk, we further assessed their capabilities on artificially noisy data as a proof of concept to determine whether this model could be applied to low-quality images that may be rapidly acquired as a prostate cancer screening tool. This evidence concerns the gene BCR and prostate cancer.