Publication | Open Access
Radiomics prediction model for the improved diagnosis of clinically significant prostate cancer on biparametric MRI
67
Citations
34
References
2020
Year
Compared with the evaluation of clinical risk factors associated with PCa only, the radiomics-based machine learning model can improve the predictive accuracy for clinically significant PCa, in terms of both diagnostic performance and clinical net benefit.
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