Table 7.
Comparsion results using accuracy metric.
| References | Methods | Accuracy | Observation | Datasets | Size of datasets |
|---|---|---|---|---|---|
| [43] | Deep learning, SVM | 93.1% | Classification | ISIC | 2146 |
| [44] | CNNs | 85.5% | Classification | ISIC 2017 | 1300 |
| [45] | CNN-feature-based | 81% | Classification | PH2 | 50 |
| [46] | CNNs | 91.2% | Classification | ISIC 2017 | 2000 |
| Proposed model (ANNs) | 97.50 98.35 |
Classification | PH2 ISIC 2018 |
120 840 |
|
| Proposed model (CNNs) | 91.67 94.05 |
Classification | PH2 ISIC 2018 |
120 840 |