From: A machine learning approach on multiscale texture analysis for breast microcalcification diagnosis
Normal/Abnormal | Benign/Malignant | ||
---|---|---|---|
Embedded Method | AUC | 98.16 (97.87−98.48)∗∗ | 92.08 (91.61−92.58) |
Accuracy | 97.31 (96.92−97.31)∗∗ | 88.46 (87.69−89.23) | |
Sensitivity | 94.62 (93.85−94.62) | 89.09 (87.27−90.91) | |
Specificity | 100 (100−100)∗∗ | 88.00 (86.67−89.33) | |
Filter Method | AUC | 98.67 (98.57−98.76) | 92.13 (91.66−92.78) |
Accuracy | 96.92 (96.54−96.92) | 87.69 (86.92−89.23) | |
Sensitivity | 93.85 (93.85−94.62) | 89.09 (87.27−90.91) | |
Specificity | 99.23 (99.23−100) | 87.33 (85.33−89.33) |