An optimal deep learning model for the scoring of radiographic damage in patients with ankylosing spondylitis.

MLA

Chen, Yen-Ju, et al. “An Optimal Deep Learning Model for the Scoring of Radiographic Damage in Patients with Ankylosing Spondylitis.” Therapeutic Advances in Musculoskeletal Disease, Oct. 2024, pp. 1–11. EBSCOhost, https://doi.org/10.1177/1759720X241285973.

APA

Chen, Y.-J., Chen, D.-Y., Lan, H.-C., Huang, A.-C., Chen, Y.-H., Huang, W.-N., & Chen, H.-H. (2024). An optimal deep learning model for the scoring of radiographic damage in patients with ankylosing spondylitis. Therapeutic Advances in Musculoskeletal Disease, 1–11. https://doi.org/10.1177/1759720X241285973

Chicago

Chen, Yen-Ju, Der-Yuan Chen, Haw-Chang Lan, An-Chih Huang, Yi-Hsing Chen, Wen-Nan Huang, and Hsin-Hua Chen. 2024. “An Optimal Deep Learning Model for the Scoring of Radiographic Damage in Patients with Ankylosing Spondylitis.” Therapeutic Advances in Musculoskeletal Disease, October, 1–11. doi:10.1177/1759720X241285973.