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European Radiology Experimental

Table 3 Performance of different feature combinations using the multilayer perceptron method

From: Performance of machine learning software to classify breast lesions using BI-RADS radiomic features on ultrasound images

Features

Sensitivity (%)

Specificity (%)

Area under the curve

{5}

67.5

78.7

0.759

{5, 2}

68.4

79.2

0.789

{5, 2, 1}

68.8

84.1

0.799

{5, 2, 1, 3}

66.2

71.7

0.806

  1. {1}: area difference with equivalent ellipse; {2}: orientation; {3}: average of difference vector; {5}: average of distance vector
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