Research Article
A Low-Interaction Automatic 3D Liver Segmentation Method Using Computed Tomography for Selective Internal Radiation Therapy
Table 3
Comparison of proposed algorithm with other algorithms found in the literature.
| Method | Interaction level | Volume difference ( error) | Processing time per slice (sec) |
| Beck and Aurich (see [40]) | high | | 3.00 | Beichel et al. (see [41]) | high | | 15.43 | Chi et al. (see [30]) | none | | 14.57 | Dawant et al. (see [42]) | medium | | 8.57 | Furukawa et al. (see [20]) | none | | 15.43 | Goryawala et al. (see [47]) | medium | | 7.50 | Heimann et al. (see [25]) | none | | 3.00 | Kainmüller et al. (see [14]) | none | | 6.43 | Lee et al. (see [43]) | low | | 3.00 | Rusko et al. (see [34]) | none | | 0.21 | Saddi et al. (see [26]) | none | | 2.36 | Schmidt et al. (see [41]) | none | | 8.57 | Seghers et al. (see [17]) | none | | 12.86 | Susomboon et al. (see [44]) | none | | 10.71 | van Rikxoort et al. (see [21]) | none | | 19.29 |
| Proposed algorithm | low | | 10.96 |
|
|