Making sense of large data sets without annotations: analyzing age-related correlations from lung CT scans

MLA

Cook, Tessa S., et al. “Making Sense of Large Data Sets without Annotations: Analyzing Age-Related Correlations from Lung CT Scans.” Proceedings of SPIE, vol. 10138, no. 1, Mar. 2017, pp. 1013809-1013809–12. EBSCOhost, https://doi.org/10.1117/12.2255609.

APA

Cook, T. S., Zhang, J., Dicente Cid, Y., Mamonov, A., Beers, A., Thomas, A., Kovalev, V., Kalpathy-Cramer, J., & Müller, H. (2017). Making sense of large data sets without annotations: analyzing age-related correlations from lung CT scans. Proceedings of SPIE, 10138(1), 1013809-1013809–1013812. https://doi.org/10.1117/12.2255609

Chicago

Cook, Tessa S., Jianguo Zhang, Yashin Dicente Cid, Artem Mamonov, Andrew Beers, Armin Thomas, Vassili Kovalev, Jayashree Kalpathy-Cramer, and Henning Müller. 2017. “Making Sense of Large Data Sets without Annotations: Analyzing Age-Related Correlations from Lung CT Scans.” Proceedings of SPIE 10138 (1): 1013809-1013809–12. doi:10.1117/12.2255609.