Magnetic Resonance Image Segmentation Based on Two-Dimensional Exponential Entropy and a Parameter Free PSO

Amir Nakib, Yann Cooren, Hamouche Oulhadj, Patrick Siarry. Magnetic Resonance Image Segmentation Based on Two-Dimensional Exponential Entropy and a Parameter Free PSO. In Nicolas Monmarché, El-Ghazali Talbi, Pierre Collet, Marc Schoenauer, Evelyne Lutton, editors, Artificial Evolution, 8th International Conference, Evolution Artificielle, EA 2007, Tours, France, October 29-31, 2007, Revised Selected Papers. Volume 4926 of Lecture Notes in Computer Science, pages 50-61, Springer, 2007. [doi]

@inproceedings{NakibCOS07,
  title = {Magnetic Resonance Image Segmentation Based on Two-Dimensional Exponential Entropy and a Parameter Free PSO},
  author = {Amir Nakib and Yann Cooren and Hamouche Oulhadj and Patrick Siarry},
  year = {2007},
  doi = {10.1007/978-3-540-79305-2_5},
  url = {http://dx.doi.org/10.1007/978-3-540-79305-2_5},
  tags = {rule-based},
  researchr = {https://researchr.org/publication/NakibCOS07},
  cites = {0},
  citedby = {0},
  pages = {50-61},
  booktitle = {Artificial Evolution, 8th International Conference, Evolution Artificielle, EA 2007, Tours, France, October 29-31, 2007, Revised Selected Papers},
  editor = {Nicolas Monmarché and El-Ghazali Talbi and Pierre Collet and Marc Schoenauer and Evelyne Lutton},
  volume = {4926},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-540-79304-5},
}