Research Article
Segmentation of Brain Tissues from MRI Images Using Multitask Fuzzy Clustering Algorithm
Table 3
The average values in terms of segmentation accuracy and average Dice similarity coefficient on simulated MRI brain images.
| Image | SA | | FCM | DMFCM | WMT-FCM | FCM | DMFCM | WMT-FCM |
| Image 1 | 0.8943 | 0.9531 | 0.9870 | 0.8059 | 0.9230 | 0.9737 | Image 2 | 0.8668 | 0.9131 | 0.9705 | 0.7425 | 0.8366 | 0.9408 | Image 3 | 0.8289 | 0.8765 | 0.9537 | 0.6705 | 0.7716 | 0.9081 | Image 4 | 0.9142 | 0.9630 | 0.9914 | 0.8469 | 0.9390 | 0.9826 | Image 5 | 0.8268 | 0.8686 | 0.9543 | 0.6752 | 0.7541 | 0.9090 | Image 6 | 0.7979 | 0.8618 | 0.9237 | 0.6107 | 0.7415 | 0.8495 | Image 7 | 0.8781 | 0.9164 | 0.9818 | 0.7789 | 0.8521 | 0.9632 | Image 8 | 0.8905 | 0.8865 | 0.9845 | 0.8089 | 0.7932 | 0.9688 | Image 9 | 0.8712 | 0.8778 | 0.9737 | 0.7572 | 0.7677 | 0.9472 |
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