Cite
The prognostic value of adaptive nuclear texture features from patient gray level entropy matrices in early stage ovarian cancer.
MLA
Nielsen, Birgitte, et al. “The Prognostic Value of Adaptive Nuclear Texture Features from Patient Gray Level Entropy Matrices in Early Stage Ovarian Cancer.” Analytical Cellular Pathology: Cellular Oncology, vol. 35, no. 4, July 2012, pp. 305–14. EBSCOhost, https://doi.org/10.1155/2012/538479.
APA
Nielsen, B., Albregtsen, F., Kildal, W., Abeler, V. M., Kristensen, G. B., & Danielsen, H. E. (2012). The prognostic value of adaptive nuclear texture features from patient gray level entropy matrices in early stage ovarian cancer. Analytical Cellular Pathology: Cellular Oncology, 35(4), 305–314. https://doi.org/10.1155/2012/538479
Chicago
Nielsen, Birgitte, Fritz Albregtsen, Wanja Kildal, Vera M. Abeler, Gunnar B. Kristensen, and Håvard E. Danielsen. 2012. “The Prognostic Value of Adaptive Nuclear Texture Features from Patient Gray Level Entropy Matrices in Early Stage Ovarian Cancer.” Analytical Cellular Pathology: Cellular Oncology 35 (4): 305–14. doi:10.1155/2012/538479.