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Table 2 Summary of top performing parameters for distinguishing between benign and malignant sites measured using the nuclear and ductal segmentation algorithms

From: Micro-anatomical quantitative optical imaging: toward automated assessment of breast tissues

Group Performance metric Standard deviation of inter-nuclear distance Area fraction Range of inter-nuclear distance
A. Classification by nuclear parameter – all sites AUC 0.87 0.86 0.87
Sensitivity 78 76 76
Specificity 82 79 85
B. Classification by nuclear parameter – non-duct sites AUC 0.93 0.92 0.91
Sensitivity 85 80 81
Specificity 88 87 88
C. Classification by nuclear parameter – duct sites AUC 0.68 0.72 0.74
Sensitivity 46 65 62
Specificity 100 70 96
Group Performance metric Number of lumens Minor dimension of outer ellipse Area of outer ellipse
D. Classification by duct parameter – duct sites AUC 0.92 0.83 0.82
Sensitivity 88 73 81
Specificity 88 79 75
  1. A: Nuclear parameters measured at all sites using the nuclear segmentation algorithm. B: Nuclear parameters measured at all sites except those with breast ducts (normal ducts, hyperplastic ducts, and ductal carcinoma in situ) using the nuclear segmentation algorithm. C: Nuclear parameters measured at sites with breast ducts using the nuclear segmentation algorithm. D: Ductal parameters measured at sites with breast ducts using the ductal segmentation algorithm. AUC area under the curve