Research Article
Deep Learning-Based Classification for Melanoma Detection Using XceptionNet
Table 2
The performance analysis of the proposed Xception method compared with other studied algorithms.
| | Method | Accuracy (%) | Sensitivity (%) | Precision (%) | F1-score |
| | VGG16 [22] | 48.99 | 53.7 | 46.97 | 50.11 | | InceptionV3 [23] | 52.99 | 53.99 | 52.99 | 53.48 | | AlexNet [24] | 75.99 | 76.99 | 75.99 | 76.48 | | Xception [25] | 92.90 | 91.99 | 91.99 | 91.99 | | Proposed Xception | 100 | 94.05 | 97.07 | 95.53 |
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