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Table 1 Evaluation of the tumour extraction algorithm in BCC histology slides

From: Performance of a simple chromatin-rich segmentation algorithm in quantifying basal cell carcinoma from histology images

Tumours n Sensitivity (%) Specificity (%) PPV (%) NPV (%)
Infiltrative 10 78.95 87.25 71.15 87.88
Superficial 10 98.13 82.50 34.34 99.74
Nodular 10 95.82 89.31 84.53 94.96
All 30 90.97 86.35 63.34 94.19
  1. PPV: Positive Predictive Value = [True Positive Pixels/(True Positive Pixels + False Positive Pixels)] · 100%; NPV: Negative Predictive Value = [True Negative Pixels/(True Negative Pixels + False Negative Pixels)] · 100%; Sensitivity = [True Positive Pixels/(True Positive Pixels + False Negative Pixels)] · 100%; Specificity = [True Negative Pixels/(True negative Pixels + False Positive Pixels)] · 100%