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. 2010 Jan 25;37(2):771–783. doi: 10.1118/1.3284530

Table 1.

Statistics for the liver segmentation results from training and test data. Incremental results are shown for the training set at step 1—after nonrigid registration, step 2—using GAC and adaptive convolution, and step 3—after incorporating shape and location correction. Columns present the DC, VO, VER, HER, RMSE, and ASD.

Data set∕no. of cases DC (%) VO (%) VER (%) HER (%) RMSE (mm) ASD (mm)
Training liver step 1∕14 90.9±3.7 83.6±6 14.9±9.6 12.2±13.2 4.4±2.1 2.6±1.2
Training liver step 2∕14 94.3±1.5 89.3±2.6 3.3±3.7 3.7±3.7 3.8±1.8 1.7±0.8
Training liver step 3∕14 94.5±0.8 90±1 2±2.1 3.4±3.1 2.9±0.5 1.5±0.3
Test liver (low resolution)∕14 94.8±1 90.4±1.1 2.8±1.9 3.4±3.1 2.8±0.6 1.5±0.4
Normal∕7 94.1±1 89.9±1 2.6±1.8 3±3.5 1.9±0.5 1.2±0.2
Hepatomegaly∕7 95.2±1.2 91.5±1.3 3.1±2 3.9±2.9 3.2±0.8 1.7±0.5
Test liver (high resolution)∕10 96.2±0.6 92.7±1.1 2.2±2.1 2.8±3.3 2.3±0.5 1.2±0.2
MICCAI liver∕20 95.9±0.9 92±1.8 2.6±2 4.3±4.6 2.9±1 1.4±0.5
Hepatectomy cases∕5 93.9±1.3 88.5±2.3 4.1±2.8 N∕A 3.3±0.6 1.6±0.2
Interobserver liver∕14 96.4±0.9 92.3±1.2 1.25±1.1 3.9±2.7 1.7±0.4 0.7±0.2