Research Article
Automatic Liver Segmentation from CT Images Using Single-Block Linear Detection
Table 1
Sensitivity, specificity, accuracy, and the corresponding average of the proposed method.
| | Normal | | 1 | 2 | 3 | 4 | Average |
| Sensitivity | 0.9939 | 0.9927 | 0.9695 | 0.9894 | 0.9864 | Specificity | 0.9947 | 0.9815 | 0.9843 | 0.9924 | 0.9882 | Accuracy | 0.9946 | 0.9837 | 0.9824 | 0.9920 | 0.9882 |
| | Liver cancer | | 1 | 2 | 3 | 4 | Average |
| Sensitivity | 0.9674 | 0.9732 | 0.9727 | 0.9504 | 0.9659 | Specificity | 0.9912 | 0.995 | 0.9874 | 0.996 | 0.9865 | Accuracy | 0.9902 | 0.9937 | 0.9858 | 0.9916 | 0.9903 |
| | Liver hemangioma | | 1 | 2 | 3 | 4 | Average |
| Sensitivity | 0.9782 | 0.9827 | 0.991 | 0.9827 | 0.9837 | Specificity | 0.9844 | 0.981 | 0.995 | 0.9893 | 0.9874 | Accuracy | 0.9838 | 0.9811 | 0.9947 | 0.9886 | 0.9870 |
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