Table 1. The literature on TCCCA using ML techniques.
| SN# | ML model | Modality | References |
|---|---|---|---|
| 1 | SVM | US | (19,34-40,61,94-96,146,149-151) |
| 2 | KNN | US | (13,40,95,97,98,152) |
| 3 | Adaboost | US | (61) |
| 4 | UAI | US | (145,153) |
| 5 | PNN | US | (34,37,40,95,149) |
| 6 | Adaboost | US | (144,154) |
| 7 | SOM | US | (97,152,155) |
| 8 | ANN | US | (35,156-158) |
| 9 | NB | US | (35) |
| 10 | LR | US | (36) |
| 11 | LDA | US | (95) |
| 12 | QDA | US | (95) |
| 13 | DT | US | (95) |
| 14 | RF | MRI | (159) |
| 15 | CT | (129) | |
| 16 | DT, NB, RF, LR, NN | CT | (160) |
| 17 | SVM | CT | (92) |
TCCCA, tissue characterization and classification of the carotid artery; ML, machine learning; US, ultrasound; MRI, magnetic resonance imaging; CT, computed tomography.