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  • Erratum
  • Open Access

Erratum to: One-class kernel subspace ensemble for medical image classification

  • 1, 3Email author,
  • 3,
  • 2,
  • 4 and
  • 3
EURASIP Journal on Advances in Signal Processing20152015:88

https://doi.org/10.1186/s13634-015-0274-2

  • Received: 2 October 2015
  • Accepted: 2 October 2015
  • Published:

The original article was published in EURASIP Journal on Advances in Signal Processing 2014 2014:17

After publication of our work [1] we noticed that there were three references and an acknowledgment missing. These are given below:

Figure 5 and Figure 6 should be referenced with reference number 53 from the reference list in [1].

The first sentence in section 4.1.2 ‘The 3D OCT retinal image set was collected at the Royal Hospital of University of Liverpool’ should be referenced with [2].

The Acknowledgments should also state that ‘The authors appreciate Dr. Yalin Zheng and Mr. Albarrark A. for their support on the 3D OCT retinal image set used in the paper’.

Notes

Declarations

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors’ Affiliations

(1)
Key Laboratory of Education Informalization for Nationalities, Yunnan Normal University, Ministry of Education, Kunming, 650500, China
(2)
Department of Computer Science, University of Liverpool, Liverpool, L693BX, UK
(3)
Department of Computer Science and Software Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, 215123, China
(4)
Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, 215123, China

References

  1. Y Zhang, B Zhang, F Coenen, J Xiao, W Lu, One-class kernel subspace ensemble for medical image classification. EURASIP J. Adv. Signal Process 2014, 17 (2014)View ArticleGoogle Scholar
  2. A Albarrak, F Coenen, Y Zheng, W Yu, Volumetric image mining based on decomposition and graph analysis: an application to retinal optical coherence tomography, in Proc. CINTI 2012 (IEEE, Budapest, Hungary, 2012), pp. 263–268Google Scholar

Copyright

© Zhang et al. 2015

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