Cite
Dual center validation of deep learning for automated multi-label segmentation of thoracic anatomy in bedside chest radiographs.
MLA
Busch, Felix, et al. “Dual Center Validation of Deep Learning for Automated Multi-Label Segmentation of Thoracic Anatomy in Bedside Chest Radiographs.” Computer Methods & Programs in Biomedicine, vol. 234, June 2023, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.cmpb.2023.107505.
APA
Busch, F., Xu, L., Sushko, D., Weidlich, M., Truhn, D., Müller-Franzes, G., Heimer, M. M., Niehues, S. M., Makowski, M. R., Hinsche, M., Vahldiek, J. L., Aerts, H. J., Adams, L. C., & Bressem, K. K. (2023). Dual center validation of deep learning for automated multi-label segmentation of thoracic anatomy in bedside chest radiographs. Computer Methods & Programs in Biomedicine, 234, N.PAG. https://doi.org/10.1016/j.cmpb.2023.107505
Chicago
Busch, Felix, Lina Xu, Dmitry Sushko, Matthias Weidlich, Daniel Truhn, Gustav Müller-Franzes, Maurice M. Heimer, et al. 2023. “Dual Center Validation of Deep Learning for Automated Multi-Label Segmentation of Thoracic Anatomy in Bedside Chest Radiographs.” Computer Methods & Programs in Biomedicine 234 (June): N.PAG. doi:10.1016/j.cmpb.2023.107505.