Skip to main content

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

The Original Article was published on 07 February 2014

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’.

References

  1. 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)

    Article  Google Scholar 

  2. 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. 263–268

    Google Scholar 

Download references

Author information

Affiliations

Authors

Corresponding author

Correspondence to Yungang Zhang.

Additional information

The online version of the original article can be found under doi:10.1186/1687-6180-2014-17.

Rights and permissions

Open Access This 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.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Zhang, Y., Zhang, B., Coenen, F. et al. Erratum to: One-class kernel subspace ensemble for medical image classification. EURASIP J. Adv. Signal Process. 2015, 88 (2015). https://doi.org/10.1186/s13634-015-0274-2

Download citation