Research Article
Enhanced Segmentation of Inflamed ROI to Improve the Accuracy of Identifying Benign and Malignant Cases in Breast Thermogram
Table 3
Comparison of the metrics of the proposed method with state-of-the-art methods.
| Methods | Dataset 1 | Dataset 2 | SA (%) | DS | JI | OSR | USR | SA (%) | DS | JI | OSR | USR |
| PM | 91.2 | 0.831 | 0.812 | 0.09 | 0.281 | 92.4 | 0.857 | 0.824 | 0.08 | 0.272 | FCM [20] 2017 | 80.24 | 0.722 | 0.68 | 0 | 0.762 | 82.15 | 0.751 | 0.701 | 0 | 0.733 | CV-ACM [21] 2014 | 82.36 | 0.761 | 0.712 | 0.261 | 0.673 | 83.6 | 0.78 | 0.729 | 0.243 | 0.641 | K-means [47] 2015 | 73.3 | 0.701 | 0.671 | 0 | 0.78 | 75.2 | 0.72 | 0.69 | 0 | 0.745 |
|
|