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Objectives
To develop diagnostic algorithms of multisequence prostate magnetic resonance imaging for cancer detection and segmentation using deep learning and explore values of dynamic contrast‐enhanced imaging in multiparametric imaging, compared with biparametric imaging.
Methods
We collected 3227 multiparametric imaging sets from 332 patients, including 218 cancer patients (291 biopsy‐proven...