Table 6 Comparative results of AD MRI images with different models.
Reference | Year | Approach | Accuracy (%) | Precision (%) | Recall (%) | F1-score (%) |
---|---|---|---|---|---|---|
Unde et al.22 | 2024 | Mask R-CNN | 97.46 | – | – | – |
Shobha et al.33 | 2024 | SVM | 94.49 | 77.42 | 94.49 | 81.08 |
Alqahtani et al.34 | 2023 | ResNet- 50 | 94.36 | 94.34 | 94.36 | 94.35 |
Sharma et al.35 | 2022 | Neural networks with VGG16 | 90.40 | 90.00 | 90.40 | 90.40 |
Rana et al.36 | 2023 | InceptionV3-CNN | 97.31 | 97.00 | 97.00 | 97.00 |
Proposed research | IDeepLabV3+-EResNext | 98.12 | 99.25 | 98.25 | 98.75 |