Automated classification as an alternative or adjunct to traditional ultrasound scoring for rheumatoid arthritis
Author:
Affiliation:
1. SingHealth AI Health Program SingHealth Group Singapore
2. Singapore Eye Research Institute Singapore
Publisher
Wiley
Subject
Radiology, Nuclear Medicine and imaging
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/jcu.23142
Reference17 articles.
1. Artificial intelligence for anterior segment diseases: emerging applications in ophthalmology;Ting DS;Br J Ophthalmol,2021
2. A deep learning classification of MCP synovial proliferation in rheumatoid arthritis by ultrasound images;Wu M;J Clin Ultrasound,2022
3. Scoring ultrasound synovitis in rheumatoid arthritis: a EULAR‐OMERACT ultrasound taskforce—part 1: definition and development of a standardised, consensus‐based scoring system;D'Agostino MA;RMD Open,2017
4. Scoring ultrasound synovitis in rheumatoid arthritis: a EULAR‐OMERACT ultrasound taskforce‐part 2: reliability and application to multiple joints of a standardised consensus‐based scoring system;Terslev LN;RMD Open,2017
5. Geirhos R. R.(2019).ImageNet‐trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness. International Conference on Learning Representations.
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