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Analytical Cellular Pathology
Volume 35, Issue 4, Pages 305-314
http://dx.doi.org/10.3233/ACP-2012-0065

The Prognostic Value of Adaptive Nuclear Texture Features from Patient Gray Level Entropy Matrices in Early Stage Ovarian Cancer

Birgitte Nielsen,1,3 Fritz Albregtsen,1,2 Wanja Kildal,1,3 Vera M. Abeler,4 Gunnar B. Kristensen,1,5 and Håvard E. Danielsen1,2,3

1Institute for Medical Informatics, Oslo University Hospital, Oslo, Norway
2Department of Informatics, University of Oslo, Oslo, Norway
3Centre for Cancer Biomedicine, University of Oslo, Oslo, Norway
4Department of Pathology, Oslo University Hospital, Oslo, Norway
5Department of Gynecologic Oncology, Oslo University Hospital, Oslo, Norway

Received 10 February 2012; Accepted 25 April 2012

Copyright © 2012 Hindawi Publishing Corporation and the authors. 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

Birgitte Nielsen, Fritz Albregtsen, Wanja Kildal, Vera M. Abeler, Gunnar B. Kristensen, and Håvard E. Danielsen, “The Prognostic Value of Adaptive Nuclear Texture Features from Patient Gray Level Entropy Matrices in Early Stage Ovarian Cancer,” Analytical Cellular Pathology, vol. 35, no. 4, pp. 305-314, 2012. https://doi.org/10.3233/ACP-2012-0065.