A fuzzy-soft competitive learning algorithm for ophthalmological MRI segmentation

@inproceedings{Yang2008AFC,
  title={A fuzzy-soft competitive learning algorithm for ophthalmological MRI segmentation},
  author={Miin-Shen Yang and Karen Chia-Ren Lin and Hsiu-Chih Liu and Jiing-Feng Lirng},
  year={2008}
}
In this paper, we consider a fuzzy-soft competitive learning algorithm (FS-CLA) which is a sequential type of the fuzzy-soft learning vector quantization (FS-LVQ). The FS-CLA is a competitive learning with a fuzzy relaxation technique by using fuzzy membership functions as kernel type neighborhood interaction functions. We then apply the FS-CLA to magnetic resonance image (MRI) segmentation for a real case of ophthalmology recommended by a Neurologist with MR image data. The algorithm is used… CONTINUE READING