Clinical Validation of a Deep Learning-Based Hybrid (Greulich-Pyle and Modified Tanner-Whitehouse) Method for Bone Age Assessment.

MLA

Kyu-Chong Lee, et al. “Clinical Validation of a Deep Learning-Based Hybrid (Greulich-Pyle and Modified Tanner-Whitehouse) Method for Bone Age Assessment.” Korean Journal of Radiology, vol. 22, no. 12, Dec. 2021, pp. 2017–25. EBSCOhost, https://doi.org/10.3348/kjr.2020.1468.

APA

Kyu-Chong Lee, Kee-Hyoung Lee, Chang Ho Kang, Kyung-Sik Ahn, Yoojin Chung, L., Jae-Joon Lee, Suk Joo Hong, Baek Hyun Kim, & Euddeum Shim. (2021). Clinical Validation of a Deep Learning-Based Hybrid (Greulich-Pyle and Modified Tanner-Whitehouse) Method for Bone Age Assessment. Korean Journal of Radiology, 22(12), 2017–2025. https://doi.org/10.3348/kjr.2020.1468

Chicago

Kyu-Chong Lee, Kee-Hyoung Lee, Chang Ho Kang, Kyung-Sik Ahn, Lindsey Yoojin Chung, Jae-Joon Lee, Suk Joo Hong, Baek Hyun Kim, and Euddeum Shim. 2021. “Clinical Validation of a Deep Learning-Based Hybrid (Greulich-Pyle and Modified Tanner-Whitehouse) Method for Bone Age Assessment.” Korean Journal of Radiology 22 (12): 2017–25. doi:10.3348/kjr.2020.1468.