Table 6.
ML and DL techniques used for medical imaging
| Article | DT | AB | ANN/CNN | SVM | TL | RF | Bayes Net | PCA/ICA | Others |
|---|---|---|---|---|---|---|---|---|---|
| [55] | - | - | + | - | - | - | - | - | + |
| [7] | - | - | - | + | + | - | - | - | - |
| [28] | - | - | - | + | + | - | - | - | - |
| [18] | - | - | - | - | - | - | - | - | - |
| [60] | - | - | - | - | - | - | - | - | + |
| [46] | - | - | - | - | - | - | - | - | - |
| [84] | - | - | + | + | - | + | - | - | - |
| [104] | - | - | + | - | + | - | - | - | - |
| [49] | - | - | - | - | - | - | - | + | + |
| [82] | + | - | - | + | - | - | - | + | - |
| [56] | - | - | + | - | - | - | - | - | - |
| [76] | - | + | + | + | - | + | + | - | - |
| [77] | - | + | - | + | - | + | + | - | - |
| [78] | + | - | - | + | - | - | - | + | + |
| [42] | - | - | + | + | + | - | - | + | - |
| [44] | - | - | - | - | - | - | - | - | - |
| [29] | - | - | - | + | - | + | + | - | - |
| [79] | - | - | - | + | - | - | - | - | + |
| [27] | - | - | - | - | - | - | - | - | - |
| [103] | + | - | - | + | - | + | + | - | - |
| [38] | - | - | + | - | + | - | - | + | + |
| [97] | - | - | - | - | - | - | - | + | - |
| [32] | - | - | - | - | - | - | - | - | + |
| [98] | - | - | - | - | - | - | - | - | + |
| [53] | - | - | - | - | - | - | - | - | - |
| [26] | - | - | + | + | - | - | - | - | - |
DT Decision Tree, AB Adaptive Boosting, ANN Artificial Neural Network, CNN Convolutional Neural Network, SVM Support Vector Machine, RF Random Forest, ML Machine Learning, TL Transfer Learning, PCA Principal Component Analysis, ICA Independent Component Analysis.