Research Article
A New Computer-Aided Diagnosis System with Modified Genetic Feature Selection for BI-RADS Classification of Breast Masses in Mammograms
Table 3
Comparison with existing state-of-the art counterparts.
| | Method | Dataset | A_Sn (%) | A_Sp (%) | PPV (%) | NPV (%) | MCC (%) | Accuracy (%) | Year |
| | [27] | 46 DDSM | 76 | 84 | — | — | — | 76.67 | 2015 | | [18] | 480 DDSM | 83 | 94 | 83.9 | 94.6 | 78.4 | 83.85 | 2016 | | [28] | 410 INbreast | — | — | — | — | — | 83.4 | 2018 | | Ours | 500 DDSM | 84.5 | 94.25 | 84.4 | 94.8 | 79.3 | 84.5 | 2020 |
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A_Sn: average sensitivity; A_Sp: average specificity.
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