CT Image Segmentation by Using a FHNN Algorithm Based on Genetic Approach

@article{Wang2009CTIS,
  title={CT Image Segmentation by Using a FHNN Algorithm Based on Genetic Approach},
  author={Jia-Xin Wang and Ting-ting Zhang},
  journal={2009 3rd International Conference on Bioinformatics and Biomedical Engineering},
  year={2009},
  pages={1-4}
}
Traditional fuzzy Hopfield neural network (FHNN) is one of the excellent segmentation methods for CT image. Although FHNN has the capacity of searching values with high precision, it has obvious disadvantages, such as local minimum and slow convergence. In order to make up these shortcomings and find the right global minimum, a FHNN Algorithm based on genetic approach is proposed. Fine segmentation results have been obtained by the innovatory algorithm. Compared with corresponding segmentation… CONTINUE READING

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