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.

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.

Show other versions (1)

We propose a wrist joint subluxation/ankylosis classification model for an automatic radiographic scoring system for X-ray images. In managing rheumatoid arthritis, the evaluation of joint destruction is important. The modified total Sharp score (mTSS), which is conventionally used to evaluate joint...

Full description

Bibliographic Details
Main Authors: Keisuke Izumi, Kanata Suzuki, Masahiro Hashimoto, Toshio Endoh, Kentaro Doi, Yuki Iwai, Masahiro Jinzaki, Shigeru Ko, Tsutomu Takeuchi, Yuko Kaneko
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0281088

Internet

https://doi.org/10.1371/journal.pone.0281088

Similar Items