Adaptively Regularized Kernel-Based Fuzzy C-Means Clustering Algorithm Using Particle Swarm Optimization for Medical Image Segmentation

Ibtissem Cherfa, Anissa Mokraoui, Abdenour Mekhmoukh, Karim Mokrani. Adaptively Regularized Kernel-Based Fuzzy C-Means Clustering Algorithm Using Particle Swarm Optimization for Medical Image Segmentation. In Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2020, Poznan, Poland, September 23-25, 2020. pages 24-29, IEEE, 2020. [doi]

@inproceedings{CherfaMMM20,
  title = {Adaptively Regularized Kernel-Based Fuzzy C-Means Clustering Algorithm Using Particle Swarm Optimization for Medical Image Segmentation},
  author = {Ibtissem Cherfa and Anissa Mokraoui and Abdenour Mekhmoukh and Karim Mokrani},
  year = {2020},
  url = {https://ieeexplore.ieee.org/document/9241242},
  researchr = {https://researchr.org/publication/CherfaMMM20},
  cites = {0},
  citedby = {0},
  pages = {24-29},
  booktitle = {Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2020, Poznan, Poland, September 23-25, 2020},
  publisher = {IEEE},
  isbn = {978-83-62065-39-4},
}