Research Article
[Retracted] Efficient Liver Segmentation from Computed Tomography Images Using Deep Learning
Table 2
Results of the proposed model on the MICCAI-Sliver’07 dataset.
| | Case | Sensitivity (%) | Specificity (%) | Accuracy (%) | Precision (%) | JSC (%) | DSC (%) |
| | #1 | 97.56 | 97.78 | 97.66 | 97.96 | 95.61 | 97.75 | | #2 | 96.77 | 96.48 | 96.63 | 96.74 | 93.71 | 96.75 | | #3 | 96.97 | 95.24 | 96.15 | 95.78 | 92.99 | 96.15 | | #4 | 96.59 | 93.54 | 95.24 | 94.95 | 91.86 | 96.76 | | #5 | 95.51 | 92.87 | 94.34 | 94.42 | 90.40 | 94.95 | | Mean | 96.68 | 95.82 | 96.00 | 95.97 | 92.91 | 96.47 | | SD | 0.75 | 2.02 | 1.27 | 1.42 | 1.96 | 1.03 |
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