Research Article

An Improved Fuzzy Connectedness Method for Automatic Three-Dimensional Liver Vessel Segmentation in CT Images

Table 1

Segmentation performance of the improved fuzzy connectedness method on the synthetic dataset.

Group 1 ()Group 2 ()Group 3 ()Group 4 ()Group 5 ()Group 6 ()
ACC (%)SEN (%)SPE (%)DICE (%)ACC (%)SEN (%)SPE (%)DICE (%)ACC (%)SEN (%)SPE (%)DICE (%)ACC (%)SEN (%)SPE (%)DICE (%)ACC (%)SEN (%)SPE (%)DICE (%)ACC (%)SEN (%)SPE (%)DICE (%)

σ2 = 099.7 ± 0.196.6 ± 5.199.7 ± 0.284.3 ± 3.699.8 ± 0.191.2 ± 4.999.8 ± 0.186.6 ± 2.699.8 ± 0.191.5 ± 3.599.8 ± 0.185.4 ± 3.199.8 ± 0.191.5 ± 3.599.8 ± 0.186.0 ± 3.699.8 ± 0.191.5 ± 4.099.9 ± 0.185.4 ± 2.499.7 ± 0.391.0 ± 3.999.9 ± 0.185.6 ± 3.0
σ2 = 3099.7 ± 0.286.7 ± 4.999.7 ± 0.283.8 ± 4.199.7 ± 0.187.5 ± 7.399.8 ± 0.182.2 ± 3.399.7 ± 0.189.4 ± 4.799.8 ± 0.180.7 ± 3.199.7 ± 0.189.9 ± 5.299.7 ± 0.180.7 ± 3.699.7 ± 0.190.4 ± 5.299.8 ± 0.181.0 ± 2.599.7 ± 0.188.6 ± 6.699.8 ± 0.180.2 ± 2.5
σ2 = 4599.5 ± 6.391.9 ± 4.699.7 ± 0.181.3 ± 3.099.7 ± 0.188.3 ± 6.199.8 ± 0.181.8 ± 4.199.7 ± 0.190.4 ± 4.599.8 ± 0.180.7 ± 3.199.7 ± 0.189.7 ± 5.399.8 ± 0.180.8 ± 3.599.7 ± 0.189.1 ± 5.399.8 ± 0.180.9 ± 2.899.7 ± 0.187.8 ± 6.699.8 ± 0.180.6 ± 2.7
σ2 = 6099.6 ± 0.191.4 ± 4.399.7 ± 0.180.6 ± 2.499.7 ± 0.188.2 ± 5.599.8 ± 0.182.2 ± 4.199.7 ± 0.190.3 ± 4.599.8 ± 0.181.0 ± 3.199.7 ± 0.190.2 ± 5.199.8 ± 0.181.1 ± 3.399.7 ± 0.188.6 ± 5.199.8 ± 0.181.4 ± 2.699.7 ± 0.187.2 ± 6.499.8 ± 0.181.1 ± 2.7

ACC = accuracy; SEN = sensitivity; SPE = specificity; DICE = Dice coefficient.