​​Deep learning-based support system for alignment classification and correction guidance in postoperative total knee arthroplasty lateral radiographs.

Abstract

Authors

• Kazuhiro Ogasawara
  Department of Diagnostic Imaging, Hokkaido Social Work Association Obihiro Hospital, E5-S9, Obihiro, Hokkaido, 080-0805, Japan.
• Shinya Ohwada
  Department of Diagnostic Imaging, Hokkaido Social Work Association Obihiro Hospital, E5-S9, Obihiro, Hokkaido, 080-0805, Japan.
• Rie Tachibana
  From the 3D Imaging Research Lab, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 25 New Chardon St, Suite 400C, Boston, MA 02114 (R.T., J.J.N., N.K., T.H., H.Y.); Department of Information Science and Technology, National Institute of Technology, Oshima College, Yamaguchi, Japan (R.T.); Department of Medical Physics and Engineering, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan (J.O.); Department of Medical Physics, University of Applied Sciences Giessen, Giessen, Germany (N.K.); Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea (S.H.K.); Department of Surgical Sciences, University of Torino, Turin, Italy (D.R.); and Candiolo Cancer Institute, Fondazione del Piemonte per l'Oncologia-Istituto di Ricovero e Cura a Carattere Scientifico (FPO-IRCCS), Candiolo, Turin, Italy (D.R.).
• Katsuhiko Ogasawara

Keywords

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