Research Article
Breast Microcalcification Diagnosis Using Deep Convolutional Neural Network from Digital Mammograms
Table 1
Number of mammograms with malignant and benign pathologies.
| | Pathology types | Sample size |
| | Malignant | 540 | | Ductal carcinoma in situ | 194 | | Invasive ductal carcinoma (IDC) | 145 | | Invasive lobular carcinoma (ILC) | 5 | | Breast adenopathy | 162 | | Ductal carcinoma in situ with microinvasion | 22 | | Ductal carcinoma in situ with localized infiltration | 5 | | Mixed types | 16 | | Invasive carcinoma | 11 | | Benign | 450 | | Fibrocystic mastopathy | 297 | | Inflammation | 58 | | Fibroadenoma | 58 | | Benign lesion for follow-up | 14 | | Benign phyllodes tumor | 23 |
|
|