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Table 6 Performance of different feature combinations using the support vector machine 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
{4} 64.3 80.5 0.746
{4, 2} 67.1 76.2 0.798
{4, 2, 10} 67.1 78.8 0.807
{4, 2, 10 ,8} 68.6 76.2 0.814
{4, 2, 10 ,8 ,1} 71.4 76.9 0.840
  1. {1}: difference area with equivalent ellipse; {2}: orientation; {4}: number of peaks on the distance vector; {8}: entropy; {10}: lesion size