A novel intuitionistic fuzzy co-clustering algorithm for brain images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-020-09320-8.pdf
Reference44 articles.
1. Abdel-Maksoud E, Elmogy M, Al-Awadi R (2015) Brain tumor segmentation based on a hybrid clustering technique. Egyptian Informat J 16(1):71–81 ISSN 1110-8665
2. Amin J, Sharif M, Raza M, Yasmin M (2018) Detection of brain tumor based on features fusion and machine learning. J Ambient Intell Humaniz Comput. https://doi.org/10.1007/s12652-018-1092-9
3. Aparajeeta J, Nanda PK, Das N (2016) Modified possibilistic fuzzy C-means algorithms for segmentation of magnetic resonance image. Appl Soft Comput 41:104–119, ISSN 1568-4946. https://doi.org/10.1016/j.asoc.2015.12.003
4. Atanassov KT (1986) Intuitionistic fuzzy sets. Fuzzy Sets Syst 20(1):87–96
5. Benaichouche AN, Oulhadj H, Siarry P (2013) Improved spatial fuzzy c-means clustering for image segmentation using PSO initialization, Mahalanobis distance and post-segmentation correction. Digital Signal Process 23(5):1390–1400, ISSN 1051-2004. https://doi.org/10.1016/j.dsp.2013.07.005
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