Research Article
[Retracted] Artificial Intelligence-Enabled Medical Analysis for Intracranial Cerebral Hemorrhage Detection and Classification
Table 2
Comparative analysis of AIMA-ICHDC technique with existing approaches.
| Methods | Sensitivity | Specificity | Precision | Accuracy |
| AIMA-ICHDC | 95.25 | 98.83 | 96.50 | 96.51 | DL-ICH | 94.22 | 97.60 | 95.57 | 95.58 | AMG-LSN | 92.07 | 93.57 | 93.77 | 92.95 | Random forest | 90.68 | 89.63 | 89.30 | 89.99 | WEM-DCNN | 83.61 | 97.83 | 90.51 | 88.38 | Deep CNN | 87.88 | 88.51 | 88.69 | 88.25 | SVM model | 76.44 | 79.63 | 78.38 | 77.58 |
|
|