A Fully Automated Deep Learning Pipeline for Multi-Vertebral Level Quantification and Characterization of Muscle and Adipose Tissue on Chest CT Scans.

MLA

Bridge, Christopher P., et al. “A Fully Automated Deep Learning Pipeline for Multi-Vertebral Level Quantification and Characterization of Muscle and Adipose Tissue on Chest CT Scans.” Radiology. Artificial Intelligence, vol. 4, no. 1, Jan. 2022, p. e210080. EBSCOhost, https://doi.org/10.1148/ryai.210080.

APA

Bridge, C. P., Best, T. D., Wrobel, M. M., Marquardt, J. P., Magudia, K., Javidan, C., Chung, J. H., Kalpathy-Cramer, J., Andriole, K. P., & Fintelmann, F. J. (2022). A Fully Automated Deep Learning Pipeline for Multi-Vertebral Level Quantification and Characterization of Muscle and Adipose Tissue on Chest CT Scans. Radiology. Artificial Intelligence, 4(1), e210080. https://doi.org/10.1148/ryai.210080

Chicago

Bridge, Christopher P, Till D Best, Maria M Wrobel, J Peter Marquardt, Kirti Magudia, Cylen Javidan, Jonathan H Chung, Jayashree Kalpathy-Cramer, Katherine P Andriole, and Florian J Fintelmann. 2022. “A Fully Automated Deep Learning Pipeline for Multi-Vertebral Level Quantification and Characterization of Muscle and Adipose Tissue on Chest CT Scans.” Radiology. Artificial Intelligence 4 (1): e210080. doi:10.1148/ryai.210080.