Research Article
Bilateral Image Subtraction and Multivariate Models for the Automated Triaging of Screening Mammograms
Table 2
Features of the proposed models.
| # | -normalization | -rank normalization | Healthy vs Calcifications | Healthy vs Masses | Healthy vs Calcifications | Healthy vs Masses | View | Image | Feature | View | Image | Feature | View | Image | Feature | View | Image | Feature |
| 1 | CC | | 27 | CC | | 40 | CC | | 2 | CC | | 40 | 2 | CC | | 13 | CC | | 29 | CC | | 9 | CC | | 12 | 3 | CC | | 29 | CC | | 40 | CC | | 12 | CC | | 29 | 4 | CC | | 29 | CC | | 6 | MLO | | 42 | CC | | 32 | 5 | CC | | 6 | MLO | | 11 | MLO | | 13 | CC | | 28 | 6 | MLO | | 28 | CC | | 29 | MLO | | 32 | MLO | | 32 | 7 | MLO | | 11 | CC | | 28 | MLO | | 6 | MLO | | 13 | 8 | MLO | | 21 | CC | | 38 | CC | | 2 | CC | | 28 | 9 | CC | | 28 | CC | | 12 | CC | | 29 | CC | | 12 | 10 | CC | | 38 | MLO | | 40 | CC | | 14 | MLO | | 2 | 11 | MLO | | 27 | MLO | | 28 | CC | | 11 | MLO | | 5 | 12 | CC | | 27 | MLO | | 29 | MLO | | 15 | MLO | | 39 | 13 |   |   |   | MLO | | 31 | MLO | | 16 |   |   |   | 14 |   |   |   | MLO | | 7 | CC | | 4 |   |   |   | 15 |   |   |   | MLO | | 39 | CC | | 39 |   |   |   | 16 |   |   |   | MLO | | 27 | CC | | 19 |   |   |   | 17 |   |   |   |   |   |   | CC | | 12 |   |   |   | 18 |   |   |   |   |   |   | CC | | 17 |   |   |   | 19 |   |   |   |   |   |   | CC | | 12 |   |   |   | 20 |   |   |   |   |   |   | MLO | | 31 |   |   |   | 21 |   |   |   |   |   |   | MLO | | 12 |   |   |   |
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Features are grouped by dataset, symmetric features are denoted with: , , , , , , , , , .
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