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Table 4 Areas-under-the-curve at receiver operating characteristics of all the models

From: The effect of preprocessing filters on predictive performance in radiomics

Dataset AUC-ROC Original AUC-ROC All AUC-ROC Tuned ΔAll—Original pAll—Original ΔTuned—Original pTuned—Original ΔTuned—All pTuned—All Best filter
CRLM 0.7 (0.58–0.82) 0.6 (0.47–0.73) 0.7 (0.58–0.82) -0.1 0.237 0 1 0.1 0.237 Original
Desmoid 0.72 (0.64–0.79) 0.8 (0.73–0.87) 0.82 (0.76–0.89) 0.08 0.024 0.1 0.006 0.02 0.261 Wavelet
GIST 0.7 (0.63–0.77) 0.77 (0.71–0.83) 0.77 (0.71–0.83) 0.07 0.031 0.07 0.031 0 1 All
HN 0.85 (0.79–0.92) 0.81 (0.74–0.89) 0.86 (0.8–0.92) -0.04 0.216 0.01 0.651 0.05 0.086 Square root
Lipo 0.74 (0.65–0.83) 0.82 (0.74–0.9) 0.82 (0.74–0.9) 0.08 0.04 0.08 0.04 0 1 All
Liver 0.73 (0.65–0.8) 0.69 (0.61–0.77) 0.75 (0.67–0.82) -0.04 0.393 0.02 0.573 0.06 0.188 Square root
Melanoma 0.57 (0.45–0.68) 0.53 (0.41–0.64) 0.63 (0.52–0.74) -0.04 0.179 0.06 0.322 0.1 0.023 Exponential
  1. The best-performing model in terms of area-under-the-curve at receiver operating characteristics (AUC-ROC) is denoted by bold face. Δ denotes the difference between the models; for example, a positive ΔAll—Original denotes an improvement using all features over the original feature set. The reported p values correspond to a DeLong test between the denoted models. Statistically significance (p < 0.05) is also denoted by bold face