Over the past decades, despite the relatively low morbidity of prostate cancer in Asian countries, the morbidity and mortality showed a trend of rapid growth as we witnessed a rapid development of the economic and lifestyle changes [ 2 ].
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Can machine learning-based analysis of multiparameter MRI and clinical parameters improve the performance of clinically significant prostate cancer diagnosis?
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