Research Article
Water Cycle Bat Algorithm and Dictionary-Based Deformable Model for Lung Tumor Segmentation
Table 1
Performance comparison of the proposed method with the existing techniques.
| Cluster size | Evaluation metrics | CNN [3] | [14] | Dictionary-based method [21] | Proposed method |
| 4 | Average segmentation accuracy | 0.8875 | 0.8909 | 0.8934 | 0.9257 | Average Dice coefficient | 0.7667 | 0.7754 | 0.7963 | 0.8213 | Average Jaccard coefficient | 0.7855 | 0.7911 | 0.7997 | 0.8244 |
| 5 | Average segmentation accuracy | 0.8424 | 0.8591 | 0.8791 | 0.9257 | Average Dice coefficient | 0.7645 | 0.7899 | 0.8085 | 0.8282 | Average Jaccard coefficient | 0.7579 | 0.7844 | 0.7991 | 0.8270 |
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