-
Loading metrics
Open Access
Peer-reviewed
Research Article
Detecting hand joint ankylosis and subluxation in radiographic images using deep learning: A step in the development of an automatic radiographic scoring system for joint destruction
-
Keisuke Izumi ,
Contributed equally to this work with: Keisuke Izumi, Kanata Suzuki
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Writing – original draft, Writing – review & editing
* E-mail: izz@keio.jp
Affiliations Department of Internal Medicine, Division of Rheumatology, Keio University School of Medicine, Tokyo, Japan, Medical AI Center, Keio University School of Medicine, Tokyo, Japan, Division of Rheumatology, National Hospital Organization Tokyo Medical Center, Tokyo, Japan
⨯ -
Kanata Suzuki ,
Contributed equally to this work with: Keisuke Izumi, Kanata Suzuki
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Software, Writing – original draft, Writing – review & editing
Affiliations Medical AI Center, Keio University School of Medicine, Tokyo, Japan, Fujitsu Limited, Kanagawa, Japan
⨯ -
Masahiro Hashimoto,
Roles Data curation, Investigation, Methodology, Writing – review & editing
Affiliations Medical AI Center, Keio University School of Medicine, Tokyo, Japan, Department of Radiology, Keio University School of Medicine, Tokyo, Japan
⨯ -
Toshio Endoh,
Roles Investigation, Methodology, Writing – review & editing
Affiliation Fujitsu Limited, Kanagawa, Japan
⨯ -
Kentaro Doi,
Roles Investigation, Methodology, Project administration, Writing – review & editing
Affiliation Fujitsu Limited, Kanagawa, Japan
⨯ -
Yuki Iwai,
Roles Investigation, Methodology, Project administration, Writing – review & editing
Affiliation Fujitsu Limited, Kanagawa, Japan
⨯ -
Masahiro Jinzaki,
Roles Investigation, Methodology, Supervision, Writing – review & editing
Affiliations Medical AI Center, Keio University School of Medicine, Tokyo, Japan, Department of Radiology, Keio University School of Medicine, Tokyo, Japan
⨯ -
Shigeru Ko,
Roles Funding acquisition, Investigation, Methodology, Supervision, Writing – review & editing
Affiliations Medical AI Center, Keio University School of Medicine, Tokyo, Japan, Department of Systems Medicine, Keio University School of Medicine, Tokyo, Japan
⨯ -
Tsutomu Takeuchi,
Roles Funding acquisition, Investigation, Methodology, Supervision, Writing – review & editing
Affiliations Department of Internal Medicine, Division of Rheumatology, Keio University School of Medicine, Tokyo, Japan, Medical AI Center, Keio University School of Medicine, Tokyo, Japan
⨯ -
Yuko Kaneko
Roles Formal analysis, Funding acquisition, Investigation, Methodology, Supervision, Writing – review & editing
Affiliation Department of Internal Medicine, Division of Rheumatology, Keio University School of Medicine, Tokyo, Japan
⨯
Detecting hand joint ankylosis and subluxation in radiographic images using deep learning: A step in the development of an automatic radiographic scoring system for joint destruction
- Keisuke Izumi,
- Kanata Suzuki,
- Masahiro Hashimoto,
- Toshio Endoh,
- Kentaro Doi,
- Yuki Iwai,
- Masahiro Jinzaki,
- Shigeru Ko,
- Tsutomu Takeuchi,
- Yuko Kaneko
- Published: February 13, 2023
- https://doi.org/10.1371/journal.pone.0281088