Fig. 6:

Classification performance for prostate cancer classification repeatability for 1694 features derived from ADCk (Apparent Diffusion Coefficient) of kurtosis function, using the area under receiver operator characteristic curve (AUC). The scatterplots show repeatability of radiomic features (x-axis) with respect to AUC (y-axis), for all features (top), and features having high repeatability only (ICC(3,1)>0.8, bottom). Measurements are from single DWI scan (Scan1 and Scan2) and when radiomic feature values are averaged (Avg Scan 1&2).