Research Article
Detection of Benign and Malignant Tumors in Skin Empowered with Transfer Learning
Table 5
Comparison analysis of the proposed system with existing systems.
| Study | Method | Year of proposed | Accuracy (%) |
| [12] | SVM | 2017 | 86.5 | [15] | CNN | 2019 | 83.83 | [30] | CNN | 2019 | 80 | [20] | SVM | 2014 | 81 | [27] | Random forest | 2019 | 81.46 | [28] | CNN | 2019 | 78 | [29] | CNN | 2019 | 85.62 | Proposed | DCNN, transfer learning intend with pretrained AlexNet | 2022 | 87.1 |
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