Directional weighted spatial fuzzy C-means for segmentation of brain MRI images
The authors identified errors in this recently published paper [1] and would like to make following two changes.
1. Original title of this paper does not accurately reflect this work. A new title should be “A spatial fuzzy C-means algorithm for segmentation of brain MRI images.”
2. There are errors in the reported segmentation accuracy data of the proposed framework with brain in Table 2. The corrected Table 2 is shown in the following.
Table 2
Results comparison with existing methods over 51 simulated T1-weighted images using Segmentation Accuracy (SA) measure
| S. No | Methods | Avg. Accuracy of Tissues Segmentation % | Average (SA) | ||
| GM | WM | CSF | Complete | ||
| 1 | sFCM [24] | 87.20 | 89% | 83.10% | 86.43% |
| 2 | FGFCM [25] | 78.30 | 89.40 | 77.90 | 81.87% |
| 3 | ASIFC [26] | 88.50 | 92.60 | 85.60 | 88.90% |
| 4 | csFCM [27] | 89.00 | 94.70 | 88.40 | 90.70% |
| 5 | Proposed framework with brain | 95.21 | 95.12 | 92.15 | 92.14% |
Reference
[1] | Khan S.U. , Ullah I. , Ahmed I. , Imran A. and Ullah N. Directional weighted spatial fuzzy C-means for segmentation of brain MRI images, J Xray Sci Technol 27: ((2019) )1087–1099. |
