Generalized multiscale RBF networks and the DCT for breast cancer detection

Beltran-Perez, C., Wei, H.-L. orcid.org/0000-0002-4704-7346 and Rubio-Solis, A. (2020) Generalized multiscale RBF networks and the DCT for breast cancer detection. International Journal of Automation and Computing, 17 (1). pp. 55-70. ISSN 1476-8186

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 Institute of Automation, Chinese Academy of Sciences and Springer-Verlag GmbH Germany, part of Springer Nature. This is an author-produced version of a paper subsequently published in International Journal of Automation and Computing. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Nonlinear system identification; image processing; discrete cosine transform; radial basis functions; computer-aided diagnosis; neural networks
Dates:
  • Accepted: 11 November 2019
  • Published (online): 27 December 2019
  • Published: February 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Funding Information:
FunderGrant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCILEP/I011056/1
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCILEP/H00453X/1
Depositing User: Symplectic Sheffield
Date Deposited: 25 Feb 2020 10:36
Last Modified: 25 Feb 2020 10:36
Status: Published
Publisher: Springer Science and Business Media LLC
Refereed: Yes
Identification Number: https://doi.org/10.1007/s11633-019-1210-y

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Filename: Accepted Manuscript - Generalized multiscale RBF networks and the DCT.pdf

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