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Computational and Mathematical Methods in Medicine
Volume 2013 (2013), Article ID 592790, 10 pages
http://dx.doi.org/10.1155/2013/592790
Research Article

An Entropy-Based Automated Cell Nuclei Segmentation and Quantification: Application in Analysis of Wound Healing Process

1Department of Computer Science, Virginia Commonwealth University, Richmond, VA 23284, USA
2Department of Biochemistry & Molecular Biology, Virginia Commonwealth University, Richmond, VA 23298, USA

Received 23 October 2012; Revised 22 January 2013; Accepted 26 January 2013

Academic Editor: Tianhai Tian

Copyright © 2013 Varun Oswal 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

Varun Oswal, Ashwin Belle, Robert Diegelmann, and Kayvan Najarian, “An Entropy-Based Automated Cell Nuclei Segmentation and Quantification: Application in Analysis of Wound Healing Process,” Computational and Mathematical Methods in Medicine, vol. 2013, Article ID 592790, 10 pages, 2013. doi:10.1155/2013/592790