Research Article
A Composite Model of Wound Segmentation Based on Traditional Methods and Deep Neural Networks
Table 4
Comparison of existing methods. The numbers in parentheses are the numbers of images in the test sets.
| Related work | Number of images | Approaches | Degree of complexity of the final solution | Precision(%) | mIoU(%) |
| Yadav et al. [3] | 77(77) | Fuzzy c-means | simple | 86.78 | - |
| Dhane et al. [12] | 105(105) | spectral clustering | simple | 91.80 | - |
| Dhane et al. [9] | 70(70) | fuzzy spectral clustering | simple | 87.30 | 79.0 |
| Wang et al. [5] | 650(150) | deep CNN | middle | - | 47.30 |
| Wang et al. [5] | 950(190) | deep CNN | middle | 93.43 | 73.36 |
| Ours | 950(190) | deep CNN+ | complex | 94.6906 | 85.8823 |
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