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Publication | Open Access

Radiomics prediction model for the improved diagnosis of clinically significant prostate cancer on biparametric MRI

67

Citations

34

References

2020

Year

Abstract

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.

References

YearCitations

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