Table 1 State-of-art Monkeypox disease detection approaches.
From: Hyper-parameter tuned deep learning approach for effective human monkeypox disease detection
S. No | Author | Method | Dataset | Performance |
|---|---|---|---|---|
1 | Matuszewski et al.6 | DenseNet201 | 1245 images of 22 different virus classes | 93.1% Accuracy |
2 | Dwivedi et al.7 | ResNet5 model | Kaggle Monkeypox dataset | 87% Accuracy |
3 | Singh et al.8 | GoogLeNet model | Kaggle dataset | 88.27% Accuracy |
4 | Sahin et al.9 | MobileNetv2 model | MSLD database | 91.11% Accuracy |
5 | Rabaan et al.10 | Pre-trained deep learning models | Monkeypox Skin Lesion Dataset (MSLD) | 82.96(± 4.57%) Accuracy |
6 | Benges et al.11 | SVM model | 500,000 monkeypox Twitters | 93.48% Accuracy |
7 | Saleh et al.12 | Weighted Naïve Bayes (WNB) | Monkeypox dataset | 92.56% Accuracy |
