Scholars@Duke publication: Knee arthritis severity measurement using deep learning: a publicly available algorithm with a multi-institutional validation showing radiologist-level performance

Knee arthritis severity measurement using deep learning: a publicly available algorithm with a multi-institutional validation showing radiologist-level performance

Publication , Preprint

Gu, H; Li, K; Colglazier, RJ; Yang, J; Lebhar, M; O'Donnell, J; Jiranek, WA; Mather, RC; French, RJ; Said, N; Zhang, J; Park, C; Mazurowski, MA

March 16, 2022

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Duke Scholars

Author Roy John Colglazier Radiology, Musculoskeletal Imaging

Author Nicholas Said Radiology

Author William Arthur Jiranek Orthopaedic Surgery

Publication Date

March 16, 2022

Citation

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Gu, H., Li, K., Colglazier, R. J., Yang, J., Lebhar, M., O’Donnell, J., … Mazurowski, M. A. (2022). Knee arthritis severity measurement using deep learning: a publicly available algorithm with a multi-institutional validation showing radiologist-level performance.

Gu, Hanxue, Keyu Li, Roy J. Colglazier, Jichen Yang, Michael Lebhar, Jonathan O’Donnell, William A. Jiranek, et al. “Knee arthritis severity measurement using deep learning: a publicly available algorithm with a multi-institutional validation showing radiologist-level performance,” March 16, 2022.

Gu H, Li K, Colglazier RJ, Yang J, Lebhar M, O’Donnell J, et al. Knee arthritis severity measurement using deep learning: a publicly available algorithm with a multi-institutional validation showing radiologist-level performance. 2022.

Gu, Hanxue, et al. Knee arthritis severity measurement using deep learning: a publicly available algorithm with a multi-institutional validation showing radiologist-level performance. 16 Mar. 2022.

Gu H, Li K, Colglazier RJ, Yang J, Lebhar M, O’Donnell J, Jiranek WA, Mather RC, French RJ, Said N, Zhang J, Park C, Mazurowski MA. Knee arthritis severity measurement using deep learning: a publicly available algorithm with a multi-institutional validation showing radiologist-level performance. 2022.

Publication Date

March 16, 2022