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We present a method for generating a T2 MR-based probabilistic model of tumor occurrence in the prostate to guide the selection of anatomical sites for targeted biopsies and serve as a diagnostic tool to aid radiological evaluation of prostate cancer.

Building a high-resolution T2-weighted MR-based probabilistic model of tumor occurrence in the prostate