Cite
Robust radiomic feature selection in digital mammography: understanding the effect of imaging acquisition physics using phantom and clinical data analysis
MLA
Hahn, Horst K., et al. “Robust Radiomic Feature Selection in Digital Mammography: Understanding the Effect of Imaging Acquisition Physics Using Phantom and Clinical Data Analysis.” Proceedings of SPIE, vol. 11314, no. 1, Mar. 2020, p. 113140W–113140W–9. EBSCOhost, https://doi.org/10.1117/12.2549163.
APA
Hahn, H. K., Mazurowski, M. A., Acciavatti, R. J., Cohen, E. A., Maghsoudi, O. H., Gastounioti, A., Pantalone, L., Hsieh, M.-K., Conant, E. F., Scott, C. G., Winham, S. J., Kerlikowske, K., Vachon, C., Maidment, A. D. A., & Kontos, D. (2020). Robust radiomic feature selection in digital mammography: understanding the effect of imaging acquisition physics using phantom and clinical data analysis. Proceedings of SPIE, 11314(1), 113140W–113140W–9. https://doi.org/10.1117/12.2549163
Chicago
Hahn, Horst K., Maciej A. Mazurowski, Raymond J. Acciavatti, Eric A. Cohen, Omid Haji Maghsoudi, Aimilia Gastounioti, Lauren Pantalone, et al. 2020. “Robust Radiomic Feature Selection in Digital Mammography: Understanding the Effect of Imaging Acquisition Physics Using Phantom and Clinical Data Analysis.” Proceedings of SPIE 11314 (1): 113140W–113140W–9. doi:10.1117/12.2549163.