Research Article
Classification of Multiclass Histopathological Breast Images Using Residual Deep Learning
Table 1
The distribution of BreakHis images into four magnification levels for both main tumor categories and each subcategory.
| Main category | Magnification level | Benign | Total benign | Malignant | Total malignant | Total of both | Subcategory | A | F | TA | PT | DC | LC | MC | PC |
| Number of images at each magnification level | X40 | 114 | 253 | 109 | 149 | 625 | 864 | 156 | 205 | 145 | 1370 | 1995 | X100 | 113 | 260 | 121 | 150 | 644 | 903 | 170 | 222 | 142 | 1437 | 2081 | X200 | 111 | 264 | 108 | 140 | 623 | 896 | 163 | 196 | 135 | 1390 | 2013 | X400 | 106 | 237 | 115 | 130 | 588 | 788 | 137 | 169 | 138 | 1232 | 1820 | Total | 444 | 1014 | 453 | 569 | 2480 | 3451 | 626 | 792 | 560 | 5429 | 7909 |
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