BCIFCMSNI Clustering for MRI Image Segmentation

Version 1.1.0 (255 KB) by dhirendra kumar

Bias-Corrected Intuitionistic Fuzzy C-Means With Spatial Neighborhood Information Approach for Human Brain MRI Image Segmentation

https://github.com/DKumar-DTU

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Updated 4 Dec 2022

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%%%%%%%%%%%%%%% *This code is for validation purpose only*%%%%%%%%%%%%%%%%%

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

%% Bias-Corrected Intuitionistic Fuzzy C-Means With Spatial Neighborhood Information Approach for Human Brain MRI Image Segmentation

%% Published in IEEE Transaction on Fuzzy Systems

% The code was written by Dhirendra Kumar in 2019.

% If you have any problems, please contact me.

% Email address: dhirendrakumar@dtu.ac.in

Cite As

Kumar, Dhirendra, et al. “Bias-Corrected Intuitionistic Fuzzy C-Means With Spatial Neighborhood Information Approach for Human Brain MRI Image Segmentation.” IEEE Transactions on Fuzzy Systems, vol. 30, no. 3, Institute of Electrical and Electronics Engineers (IEEE), Mar. 2022, pp. 687–700, doi:10.1109/tfuzz.2020.3044253.

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MATLAB Release Compatibility

Created with R2016b

Compatible with any release

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Version	Published	Release Notes
1.1.0	4 Dec 2022	See release notes for this release on GitHub: https://github.com/DKumar-DTU/BCIFCMSNI_Code/releases/tag/1.1.0	Download
1.0.0	4 Dec 2022		Download

To view or report issues in this GitHub add-on, visit the GitHub Repository.

MLA	Kumar, Dhirendra, et al. “Bias-Corrected Intuitionistic Fuzzy C-Means With Spatial Neighborhood Information Approach for Human Brain MRI Image Segmentation.” IEEE Transactions on Fuzzy Systems, vol. 30, no. 3, Institute of Electrical and Electronics Engineers (IEEE), Mar. 2022, pp. 687–700, doi:10.1109/tfuzz.2020.3044253.
APA	Kumar, D., Agrawal, R. K., & Kumar, P. (2022). Bias-Corrected Intuitionistic Fuzzy C-Means With Spatial Neighborhood Information Approach for Human Brain MRI Image Segmentation. IEEE Transactions on Fuzzy Systems, 30(3), 687–700. Institute of Electrical and Electronics Engineers (IEEE). Retrieved from https://doi.org/10.1109%2Ftfuzz.2020.3044253
BibTeX	@article{Kumar_2022, doi = {10.1109/tfuzz.2020.3044253}, url = {https://doi.org/10.1109%2Ftfuzz.2020.3044253}, year = 2022, month = {mar}, publisher = {Institute of Electrical and Electronics Engineers ({IEEE})}, volume = {30}, number = {3}, pages = {687--700}, author = {Dhirendra Kumar and R. K. Agrawal and Puneet Kumar}, title = {Bias-Corrected Intuitionistic Fuzzy C-Means With Spatial Neighborhood Information Approach for Human Brain {MRI} Image Segmentation}, journal = {{IEEE} Transactions on Fuzzy Systems} }