References | Year | Different Methods | Best Algorithm | Accuracy |
[1] | 2019 | MLP | MLP | 96% |
[2] | 2019 | CNN | CNN | 77.30% |
[3] | 2020 | RF, KNN, NB, MLP, J48 Trees, LR | MLP | 99.8% |
[4] | 2020 | CNN | CNN | 97.89% |
[5] | 2019 | C5.0, RF, RPART, KNN, SVM | C5.0 | 97.00% |
[6] | 2021 | DT, RF, XGBoost | DT | 93% |
[7] | 2021 | CNN | CNN | 93.33% |
[8] | 2020 | RF, KNN | KNN | 94% |
[9] | 2022 | RF, XGBoost, CNN | CNN | 92% |
[10] | 2019 | R-CNN, Mask R-CNN | CNN | 94% |
[11] | 2021 | ResNet50 | RestNet50 | 74.04%. |
[12] | 2020 | CNN4 | CNN4 | 80.03% |
[13] | 2018 | Artificial Neural Networks | ANN | 95% |
[14] | 2021 | SVM | SVM | 93.33% |
[15] | 2022 | SMOTE Tomek | SMOTE Tomek | 97.72% |
[16] | 2022 | DT, RF, SVM | SVM | 84% |
[17] | 2019 | Deep Learning, CNN | CNN | 97.70% |
[18] | 2019 | KNN, DT, RF | KNN | 93.30% |
[19] | 2017 | MLP, Bayes NET | MLP | 95% |
[20] | 2019 | Bayes NET, RF, SVM | SVM | 96.38% |
[21] | 2023 | KNN | KNN | 99.41% |
[22] | 2021 | CNN, ResNet50 | ResNet50 | 74.04% |
[23] | 2019 | CNN | CNN | 97.70% |
[24] | 2021 | SVM | SVM | 96% |
[25] | 2020 | CNN | CNN | 99.40% |
[26] | 2019 | MLP | MLP | 96.20% |
[27] | 2019 | CNN | CNN | 77% |
[28] | 2019 | C5.0, RF, RPART, SVM, KNN | SVM | 99.77% |
[29] | 2021 | XGBoost classifier | XGBoost | 93.33% |
[30] | 2020 | SVM | SVM | 99.30% |
[31] | 2021 | LR, J48 Trees, DT, SVM, RF, KNN, NB, MLP | SVM | 95% |
[32] | 2020 | DL | DL | 93% |
[33] | 2023 | LR, J48 Trees, DT, SVM, RF, KNN, NB, MLP, Compact VGG | KNN | 99.99% |
[34] | 2018 | DL | DL | 90% |
[35] | 2017 | LR, DT, SVM, RF, KNN, NB, MLP, and J48 Trees | MLP | 88% |
[36] | 2016 | DL | DL | 87% |
[37] | 2015 | LR, J48 Trees, DT, SVM, RF, KNN, NB, and MLP | SVM | 85% |
[38] | 2014 | DL | DL | 83% |
[39] | 2013 | LR, J48 Trees, DT, SVM, RF, KNN, NB, and MLP | MLP | 82% |
[40] | 2012 | DL | DL | 80% |
[41] | 2021 | Compact VGG | VGG | 81.70% |
[42] | 2021 | SVMs | SVM | 95.00% |
[43] | 2019 | CNN | CNN | 93.33% |
[44] | 2019 | SVM, VGG | SVM | 94% |
[45] | 2019 | SVM | SVM | 89.35% |
[46] | 2017 | KNN, ANN | KNN | 88% |
[47] | 2023 | MLP, SVM, KNN | KNN | 99% |
[48] | 2015 | SVM, ANN | SVM | 85.39% |
[49] | 2019 | AUC, ROC | AUC | 90.11% |
[50] | 2019 | AUC, ROC | AUC | 92% |