Modality classification of medical images with distributed representations based on cellular automata reservoir computing

@article{Kleyko2017ModalityCO,
  title={Modality classification of medical images with distributed representations based on cellular automata reservoir computing},
  author={Denis Kleyko and Sameer Khan and Evgeny Osipov and Suet-Peng Yong},
  journal={2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)},
  year={2017},
  pages={1053-1056}
}
Modality corresponding to medical images is a vital filter in medical image retrieval systems. This article presents the classification of modalities of medical images based on the usage of principles of hyper-dimensional computing and reservoir computing. It is demonstrated that the highest classification accuracy of the proposed method is on a par with the best classical method for the given dataset (83% vs. 84%). The major positive property of the proposed method is that it does not require… CONTINUE READING

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