Table 2.
Consolidated list of ML algorithms and XAI methods from the included studies in medical imaging.
| Subsection | Author(s) | ML algorithm used | XAI method used |
|---|---|---|---|
| Radiography | Abir et al. (2024) | Lightweight CNN | SHAP, LIME, Grad-CAM |
| Ferdous et al. (2024) | Ensemble of MobileNetV2, ResNet-50/152, ViT, custom CNN | Grad-CAM | |
| Hasan et al. (2024) | CTXNET (compact transformer-CNN hybrid from CCT) | Grad-CAM | |
| Haque et al. (2025) | CNN | SHAP, Grad-CAM | |
| Neuroimaging | Turkan and Tek (2021) | 3D VGG variants (VoxCNN16, VoxATT) | Occlusion, 3D-UCM, 3D Grad-CAM, SHAP |
| Noun et al. (2025) | 3D CNN | Grad-CAM | |
| Tupe-Waghmare et al. (2021) | Semi-supervised multi-task deep learning | HR-CAMs | |
| Palkar et al. (2024) | XGBoost, SVM (transparent pipeline) | SHAP, LIME, QLattice | |
| Yoon and Lin (2025) | Semi-supervised multi-task deep learning | Grad-CAM | |
| Pilaoon et al. (2025) | Ensemble CNNs | Grad-CAM, LIME |