Table 6 Average individual performance of the proposed method for different classes.
From: Efficient breast cancer mammograms diagnosis using three deep neural networks and term variance
Recall | Specificity | Precision | F1-score | AUC | Accuracy | |
|---|---|---|---|---|---|---|
Normal | 100 | 99.29 | 99.73 | 99.86 | 99.95 | 99.8 |
Benign | 92.68 | 99.1 | 95.24 | 93.81 | 98.11 | 98 |
Malignant | 91.67 | 98.64 | 90.1 | 90.6 | 98.11 | 97.81 |