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Background
Deep learning for diagnosing clinically significant prostate cancer (csPCa) is feasible but needs further evaluation in patients with prostate‐specific antigen (PSA) levels of 4–10 ng/mL.
Purpose
To explore diffusion‐weighted imaging (DWI), alone and in combination with T2‐weighted imaging (T2WI), for deep‐learning‐based models to detect and localize visible csPCa.
Study Type
Retrospective...
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