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

Authors:
M. S. Tarkov;E. A. Chiglintsev
Affiliations:
A.V. Rzhanov's Institute of Semiconductor Physics SB RAS, Novosibirsk, Russia;Novosibirsk State University, Novosibirsk, Russia
Venue:
Optical Memory and Neural Networks
Year:
2012

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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.