Research Article
Multimodal MRI Brain Tumor Image Segmentation Using Sparse Subspace Clustering Algorithm
Table 9
Comparison of segmentation performance of three algorithms under different noise ratios.
| Noise ratio | Algorithm | Dice | Jaccard | Precision | Recall |
| 5% | FCM | 0.7002 | 0.5316 | 0.7010 | 0.6753 | SVM | 0.7912 | 0.6902 | 0.8956 | 0.7412 | SSC | 0.8410 | 0.7367 | 0.9515 | 0.7657 | 10% | FCM | 0.6833 | 0.5241 | 0.6931 | 0.6595 | SVM | 0.7800 | 0.6789 | 0.8763 | 0.7286 | SSC | 0.8362 | 0.7353 | 0.9402 | 0.7542 | 15% | FCM | 0.6658 | 0.5056 | 0.6767 | 0.6323 | SVM | 0.7682 | 0.6574 | 0.8553 | 0.7001 | SSC | 0.8268 | 0.7246 | 0.9362 | 0.7405 | 20% | FCM | 0.6312 | 0.4712 | 0.6420 | 0.6125 | SVM | 0.7404 | 0.6310 | 0.8211 | 0.6803 | SSC | 0.8182 | 0.7131 | 0.9265 | 0.7327 |
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