Table 7. Results of the skin cancer classification task trained with 20,000 images.
Model | Accuracy (%) | Specificity (%) | Recall (%) | Precision (%) | F1-Score (%) |
---|---|---|---|---|---|
Proposed model | 99.2 | 98.4 | 99.9 | 98.5 | 99.2 |
ResNet50 | 99.3 | 99.8 | 98.8 | 99.8 | 99.3 |
Model | Accuracy (%) | Specificity (%) | Recall (%) | Precision (%) | F1-Score (%) |
---|---|---|---|---|---|
Proposed model | 99.2 | 98.4 | 99.9 | 98.5 | 99.2 |
ResNet50 | 99.3 | 99.8 | 98.8 | 99.8 | 99.3 |