A novel enhancement-based rapid kernel-induced intuitionistic fuzzy c-means clustering for brain tumor image
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-09533-7.pdf
Reference35 articles.
1. Anaya-Isaza A, Mera-Jimenez L (2022) Data augmentation and transfer learning for brain tumor detection in magnetic resonance imaging. IEEE Access 10:23217–23233. https://doi.org/10.1109/ACCESS.2022.3154061
2. Aronszajn N (1950) Theory of reproducing kernels. Trans Am Math Soc 68(3):337–404
3. Aruna Kumar SV, Harish BS (2018) A modified intuitionistic fuzzy clustering algorithm for medical image segmentation. J Intell Syst 27(4):593–607. https://doi.org/10.1515/jisys-2016-0241
4. Atanassov KT (1986) Intuitionistic fuzzy sets. Fuzzy Sets Syst 20(1):87–96
5. Bakas S, Akbari H, Sotiras A, Bilello M, Rozycki M, Kirby JS, Freymann JB, Farahani K, Davatzikos C (2017) Advancing the cancer genome atlas glioma MRI collections with expert segmentation labels and radiomic features. Sci Data 4(1):1–13. https://doi.org/10.1038/sdata.2017.117
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