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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
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BMC Medical Imaging

ISSN: 1471-2342

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