Performance comparison of 2D and 3D approaches in the literature
| Study | 2D CNN | 3D CNN | ||
| AD | MCI | AD | MCI | |
| Basaia et al 8 | – | – | 0.99 | 0.87 |
| Feng et al 16 | – | – | 0.95 | 0.86 |
| Korolev et al 25 | – | – | 0.80 | – |
| Liu et al 17 | – | – | 0.85 | – |
| Liu et al 18 | – | – | 0.91 | – |
| Senanayake et al 26 | – | – | 0.76 | 0.75 |
| Hon and Khan27 | 0.96 | – | – | – |
| Sarraf and Tofighi19 | 0.99 | – | – | – |
| Sarraf and Tofighi20 | 0.97 | – | – | – |
| Wang et al 9 | 0.98 | – | – | – |
AD, Alzheimer’s disease; CNN, convolutional neural network; MCI, mild cognitive impairment.