Hemke, R., Buckless, C. G., Tsao, A., Wang, B., & Torriani, M. (2020). Deep learning for automated segmentation of pelvic muscles, fat, and bone from CT studies for body composition assessment. Skeletal radiology, 49(3), 387-395. https://doi.org/10.1007/s00256-019-03289-8
Chicago Style (17th ed.) CitationHemke, Robert, Colleen G. Buckless, Andrew Tsao, Benjamin Wang, and Martin Torriani. "Deep Learning for Automated Segmentation of Pelvic Muscles, Fat, and Bone from CT Studies for Body Composition Assessment." Skeletal Radiology 49, no. 3 (2020): 387-395. https://doi.org/10.1007/s00256-019-03289-8.
MLA (9th ed.) CitationHemke, Robert, et al. "Deep Learning for Automated Segmentation of Pelvic Muscles, Fat, and Bone from CT Studies for Body Composition Assessment." Skeletal Radiology, vol. 49, no. 3, 2020, pp. 387-395, https://doi.org/10.1007/s00256-019-03289-8.