Deep learning-based algorithm for assessment of knee osteoarthritis severity in radiographs matches performance of radiologists
Publication
, Preprint
Swiecicki, A; Li, N; O'Donnell, J; Said, N; Yang, J; Mather, RC; Jiranek, WA; Mazurowski, MA
July 25, 2022
Duke Scholars
Publication Date
July 25, 2022
Citation
APA
Chicago
ICMJE
MLA
NLM
Swiecicki, A., Li, N., O’Donnell, J., Said, N., Yang, J., Mather, R. C., … Mazurowski, M. A. (2022). Deep learning-based algorithm for assessment of knee osteoarthritis
severity in radiographs matches performance of radiologists.
Swiecicki, Albert, Nianyi Li, Jonathan O’Donnell, Nicholas Said, Jichen Yang, Richard C. Mather, William A. Jiranek, and Maciej A. Mazurowski. “Deep learning-based algorithm for assessment of knee osteoarthritis
severity in radiographs matches performance of radiologists,” July 25, 2022.
Swiecicki A, Li N, O’Donnell J, Said N, Yang J, Mather RC, et al. Deep learning-based algorithm for assessment of knee osteoarthritis
severity in radiographs matches performance of radiologists. 2022.
Swiecicki, Albert, et al. Deep learning-based algorithm for assessment of knee osteoarthritis
severity in radiographs matches performance of radiologists. 25 July 2022.
Swiecicki A, Li N, O’Donnell J, Said N, Yang J, Mather RC, Jiranek WA, Mazurowski MA. Deep learning-based algorithm for assessment of knee osteoarthritis
severity in radiographs matches performance of radiologists. 2022.
Publication Date
July 25, 2022