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Reducing the dimensionality of the data in the problem of diagnosing thyroid disease

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Abstract

Analysis of a number of dimensionality reduction techniques is carried out. It is shown that morphological image analysis in conjunction with diffusion maps in a problem of diagnosing thyroid disease by images of cytological preparations gives us possibility to have recognition efficiency higher than early proposed method based on Fourier spectrum correction and distinguishing principal components.

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References

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Authors and Affiliations

  1. A.V. Rzhanov’s Institute of Semiconductor Physics SB RAS, Novosibirsk, Russia

    M. S. Tarkov

  2. Novosibirsk State University, Novosibirsk, Russia

    E. A. Chiglintsev

Authors
  1. M. S. Tarkov
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  2. E. A. Chiglintsev
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Correspondence to M. S. Tarkov.

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Tarkov, M.S., Chiglintsev, E.A. Reducing the dimensionality of the data in the problem of diagnosing thyroid disease. Opt. Mem. Neural Networks 21, 119–125 (2012). https://doi.org/10.3103/S1060992X12020099

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  • DOI: https://doi.org/10.3103/S1060992X12020099

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