Table 5.
Comparison of the study's findings with existing research.
| References | Dataset | Technique | Accuracy (%) |
|---|---|---|---|
| Shahamat and Abadeh (2020) | 140 MR images | Custom CNN | 70 |
| Zhang et al. (2020) | 361 MR images | R-CNN | 79 |
| Naser and Deen (2020) | 110 MR images | CNN-UNet | 89 |
| Zhou et al. (2019) | 192 MR images | InceptionV3 | 69 |
| Saxena et al. (2020) | 3,064 MR images | VGG-16 | 90 |
| Mlynarski et al. (2019) | 285 MR images | CNN-UNet | 80.92 |
| Afshar et al. (2018) | 3,064 MR images | CapsNet | 90.89 |
| Abiwinanda et al. (2019) | 3,064 MR images | Custom CNN | 84.19 |
| Pashaei et al. (2018) | 3,064 MR images | Custom CNN | 81.09 |
| Yang et al. (2018) | 113 MR images | Google Net | 86.7 |
| Mostafiz et al. (2021) | 274 MR images | Deep CNN | 98.79 |
| Ahmad and Choudhury (2022) | 250 MR images | VGG-19 | 99.39 |
| Proposed work | 305 MR images | VGG-16 | 99 |
| VGG-19 | 99.48 |