Table 1 The accuracy comparison of our work \( h(i) \) with traditional one \( h_{p} (i) \)
From: Breast masses in mammography classification with local contour features
Feature | Method | KNN (%) | SVM (%) | ANN (%) |
|---|---|---|---|---|
\( w \) | \( h_{p} (i) \) | 76.68 | 82.21 | 79.84 |
\( h(i) \) | 81.82 | 88.14 | 88.54 | |
\( \mu_{R} /\sigma_{R} \) | \( h_{p} (i) \) | 76.68 | 84.51 | 79.45 |
\( h(i) \) | 81.82 | 90.57 | 88.54 | |
\( \alpha \) | \( h_{p} (i) \) | 83.00 | 87.21 | 83.79 |
\( h(i) \) | 86.17 | 91.92 | 89.33 | |
\( s \) | \( h_{p} (i) \) | 92.09 | 99.33 | 94.86 |
\( h(i) \) | 92.47 | 99.66 | 99.60 |