Research Article

Liver Tumor Segmentation from MR Images Using 3D Fast Marching Algorithm and Single Hidden Layer Feedforward Neural Network

Table 2

Summary of the comparison results.

DatasetEvaluation measureMeanSDMinMax

Medic Medical CenterVolumetric overlap error (%)26.667.0615.7039.47
Percentage volume error (%)16.6812.510.1739.47
Average surface distance (mm)0.440.470.212.12
RMS surface distance (mm)0.970.970.534.40
Maximal surface distance (mm)4.844.891.6821.18

TCIAVolumetric overlap error (%)28.5710.8913.7147.89
Percentage volume error (%)14.3215.810.2147.89
Average surface distance (mm)0.790.730.142.66
RMS surface distance (mm)1.551.060.353.90
Maximal surface distance (mm)8.466.451.6119.60

BothVolumetric overlap error (%)27.438.6313.7147.89
Percentage volume error (%)15.7413.650.1747.89
Average surface distance (mm)0.580.600.142.66
RMS surface distance (mm)1.201.030.354.40
Maximal surface distance (mm)6.295.731.6121.18