| Authors | Dataset | Method | Results | ||
| TC | WT | ET | |||
| Ma, C., & Li, X., 2021 | BraTS 2019 | Based on the improved U-Net | 0.82 | 0.89 | 0.79 |
| AboElenein N. M. et al., 2022 | BraTS 2019 | MIRAU-Net | 0.879 | 0.885 | 0.818 |
| Wang et al., 2019 | BraTS 2019 | 3D U-Net-based DL model | 0.798 | 0.852 | 0.778 |
| Wang, Wenxuan, et al., 2021 | BraTS’19 BraTS’20 | TransBTS | 84.87 84.50 | 90.42 90.56 | 80.24 79.63 |
| Sheng, Ning, et al. 2021 | BraTS 2019 | So ResU-Net | 0.796 | 0.881 | 0.707 |
| Raza, Rehan, et al., 2022 | BraTS’20-21 | U-Net model (dResU-Net) | 0.835 | 0.866 | 0.800 |
| Parmar, B., & Parikh., 2020 | BraTS 2020 | Patch based modified 3DU-Net | 0.827 | 0.886 | 0.795 |
| Chato, L., Kachroo, P., & Latifi, S., 2020 | BraTS 2020 | U-Net AE | 0.881 | 0.889 | 0.852 |