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Fig. 2 | Cancer Imaging

Fig. 2

From: The practical clinical role of machine learning models with different algorithms in predicting prostate cancer local recurrence after radical prostatectomy

Fig. 2

Imaging analysis and data flow of the research. VOIā€‰=ā€‰volume of interest; PI-RRā€‰=ā€‰Prostate Imaging for Recurrence Reporting system; ICCā€‰=ā€‰intraclass correlation coefficient; PCCā€‰=ā€‰Pearson correction coefficient; RFEā€‰=ā€‰recursive feature elimination; ROCā€‰=ā€‰receiver operating characteristic; DCAā€‰=ā€‰decision curve analysis

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