Computational Analysis and Deep Learning for Medical Care. Группа авторов
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Table 1.12 State-of-art of spine segmentation approaches.
| Author | Method/Algorithm | Parameters |
| Mader [11] | V-Net | MDSC (%) = 89.4MASD (mm) = 0.45 |
| Bateson [12] | Constrained domain adaptation employ ENet | MDSC (%) = 81.1HD (mm) = 1.09 |
| Zeng [13] | CNN | MDSC (%)= 90.64MASD (mm) = 0.60 |
| Chang Liu [14] | 2.5D multi-scale FCN | MDSC (%) = 90.64MASD (mm) = 0.60MLD (mm) = 0.77 |
| Gao [15] | 2D CNN, DenseNet | MDSC (%) = 90.58MASD (mm) = 0.61MLD (mm) = 0.78 |
| Jose [17] | HD-UNet asym | MDSC (%) = 89.67MASD (mm) = 0.65MLD (mm) = 0.964 |
| Claudia Iriondo [16] | VNet-based 3D connected component analysis | MDSC (%) = 89.71MASD (mm) = 0.74MLD (mm) = 0.86 |
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1 *Corresponding author: [email protected]