Automated detection and classification of shoulder arthroplasty models using deep learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging
Link
https://link.springer.com/content/pdf/10.1007/s00256-020-03463-3.pdf
Reference53 articles.
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2. McFarland EG, Sanguanjit P, Tasaki A, Keyurapan E, Fishman EK, Fayad LM. The reverse shoulder prosthesis: a review of imaging features and complications. Skelet Radiol. 2006;35:488–96. https://doi.org/10.1007/s00256-006-0109-1.
3. Dekker TJ, Steele JR, Vinson EV, Garrigues GE. Current peri-operative imaging concepts surrounding shoulder arthroplasty. Skelet Radiol. 2019;48:1485–97. https://doi.org/10.1007/s00256-019-03183-3.
4. Lee DH, Choi YS, Potter HG, Endo Y, Sivakumaran T, Lim TK, et al. Reverse total shoulder arthroplasty: an imaging overview. Skelet Radiol. 2020;49:19–30. https://doi.org/10.1007/s00256-019-03275-0.
5. Lin DJ, Wong TT, Kazam JK. Shoulder arthroplasty, from indications to complications: what the radiologist needs to know. RadioGraphics. 2016;36:192–208. https://doi.org/10.1148/rg.2016150055.
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