BioMed Research International / 2017 / Article / Tab 2

Research Article

3D Liver Tumor Segmentation in CT Images Using Improved Fuzzy C-Means and Graph Cuts

Table 2

Statistical performance of the proposed method compared to some other methods. Results are represented as mean ± standard deviation.

MethodYearAutoDatasetVOE (%)RVD (%)ASD (mm)RMSD (mm)MaxD (mm)DICERuntime

Stawiaski et al. [14]2008InteractiveLTSC0829.49 ± 12.8023.87 ± 34.721.50 ± 0.672.07 ± 0.898.30 ± 4.105–8 mins
Li et al. [12]2012SemiLTSC0826.31 ± 5.79−10.64 ± 7.551.06 ± 0.388.66 ± 3.1730 s
Kadoury et al. [17]2015AutoLTSC0825.2 ± 1.714.3 ± 2.81.4 ± 0.31.6 ± 0.46.9 ± 1.8102 s
Moghbel et al. [10]2016Auto3Dircadb22.78 ± 12.158.59 ± 18.780.75 ± 0.1530 s/slice
Foruzan and Chen [19]2016Semi3Dircadb30.61 ± 10.4415.97 ± 12.044.18 ± 9.605.09 ± 10.7112.55 ± 17.070.82 ± 0.07154 s
Our methodSemi3Dircadb29.04 ± 8.16−2.20 ± 15.880.72 ± 0.331.10 ± 0.494.25 ± 3.030.83 ± 0.0645 s

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