Radial Basis Function Neural Networks Classification for the Recognition of Idiopathic Pulmonary Fibrosis in Microscopic Images

@article{Maglogiannis2008RadialBF,
  title={Radial Basis Function Neural Networks Classification for the Recognition of Idiopathic Pulmonary Fibrosis in Microscopic Images},
  author={Ilias Maglogiannis and Haralambos Sarimveis and Chris T. Kiranoudis and Aristotelis A. Chatziioannou and N. Oikonomou and Vassilis Aidinis},
  journal={IEEE Transactions on Information Technology in Biomedicine},
  year={2008},
  volume={12},
  pages={42-54}
}
This study investigates the potential of applying the radial basis function (RBF) neural network architecture for the classification of biological microscopic images displaying lung tissue sections with idiopathic pulmonary fibrosis. For the development of the RBF classifiers, the fuzzy means clustering algorithm is utilized. This method is based on a fuzzy partition of the input space and requires only a short amount of time to select both the structure and the parameters of the RBF classifier… CONTINUE READING

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