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Table 4 Evaluation results of each stage in MPCaD (Results are shown with 95% confidence interval)

From: MPCaD: a multi-scale radiomics-driven framework for automated prostate cancer localization and detection

Procedure

Feature Selection Criteria

Sensitivity

Specificity

Accuracy

RD-STD

-

0.92 [0.84 0.99]

0.07 [-0.02 0.16]

0.17 [0.08 0.27]

RD-FM

Specificity

0.79 [0.67 0.91]

0.89 [0.85 0.93]

0.85 [0.80 0.90]

 

Sensitivity

0.85 [0.74 0.96]

0.86 [0.81 0.91]

0.84 [0.78 0.90]

 

AUC

0.83 [0.71 0.95]

0.83 [0.76 0.90]

0.83 [0.78 0.89]

 

Average

0.82

0.86

0.84

rADC-CRF

Specificity

0.79 [0.63 0.95]

0.90 [0.86 0.94]

0.86 [0.82 0.90]

 

Sensitivity

0.85 [0.70 1.00]

0.87 [0.82 0.92]

0.85 [0.80 0.90]

 

AUC

0.83 [0.66 0.99]

0.88 [0.83 0.93]

0.85 [0.81 0.89]

 

Average

0.82

0.89

0.86

  1. The bold font shows the best result