Accurate diagnosis of prostate cancer (PCa) remains challenging due to high sensitivity of biopsy and low specificity of the screening test. Multiparametric MRI (mpMRI) is an effective imaging tool for the diagnosis of PCa by providing morphological and functional information about the prostate. In this study, we propose an image-processing framework for the assessment of PCa based on mpMRI data comprised of images from T2-weighted and diffusion-weighted. It shows the relatively better performance of PCa assessment when we compare our results against radiologist assessment and histopathological score.
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