Research Article
Evaluation of Commonly Used Algorithms for Thyroid Ultrasound Images Segmentation and Improvement Using Machine Learning Approaches
Table 2
Comparison of DC in five segmentation algorithms.
| Dataset | ACWE | GC | PBC | RFC | CNN |
| D1 | 0.841 | 0.729 | 0.749 | 0.859 | 0.863 | D2 | 0.819 | 0.636 | 0.666 | 0.864 | 0.876 | D3 | 0.804 | 0.706 | 0.610 | 0.853 | 0.872 | D4 | 0.816 | 0.841 | 0.680 | 0.872 | 0.869 | D5 | 0.771 | 0.706 | 0.673 | 0.831 | 0.879 | D6 | 0.781 | 0.853 | 0.623 | 0.853 | 0.874 | D7 | 0.788 | 0.848 | 0.659 | 0.895 | 0.861 | D8 | 0.746 | 0.746 | 0.547 | 0.877 | 0.888 | D9 | 0.785 | 0.676 | 0.732 | 0.841 | 0.901 | D10 | 0.852 | 0.912 | 0.761 | 0.875 | 0.877 | Average | 0.800 | 0.765 | 0.670 | 0.862 | 0.876 |
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