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Journal of Electrical and Computer Engineering
Volume 2017 (2017), Article ID 4362603, 12 pages
https://doi.org/10.1155/2017/4362603
Research Article

3D Curvelet-Based Segmentation and Quantification of Drusen in Optical Coherence Tomography Images

1Department of Bioelectrics and Biomedical Engineering, Medical Image & Signal Processing Research Center, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
2Department of Advanced Technologies in Medicine, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran

Correspondence should be addressed to H. Rabbani; moc.oohay@bar_ssoh

Received 26 July 2016; Revised 9 December 2016; Accepted 26 December 2016; Published 31 January 2017

Academic Editor: Panajotis Agathoklis

Copyright © 2017 M. Esmaeili et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

M. Esmaeili, A. M. Dehnavi, and H. Rabbani, “3D Curvelet-Based Segmentation and Quantification of Drusen in Optical Coherence Tomography Images,” Journal of Electrical and Computer Engineering, vol. 2017, Article ID 4362603, 12 pages, 2017. doi:10.1155/2017/4362603