Unsupervised domain adaptation for automated knee osteoarthritis phenotype classification

BACKGROUND: Osteoarthritis (OA) is a global healthcare problem. The increasing population of OA patients demands a greater bandwidth of imaging and diagnostics. It is important to provide automatic and objective diagnostic techniques to address this challenge. This study demonstrates the utility of...

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Detalles Bibliográficos
Autores principales: Zhong, Junru, Yao, Yongcheng, Cahill, Dόnal G., Xiao, Fan, Li, Siyue, Lee, Jack, Ho, Kevin Ki-Wai, Ong, Michael Tim-Yun, Griffith, James F., Chen, Weitian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10644135/
https://www.ncbi.nlm.nih.gov/pubmed/37969620
http://dx.doi.org/10.21037/qims-23-704

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10644135/
https://www.ncbi.nlm.nih.gov/pubmed/37969620
http://dx.doi.org/10.21037/qims-23-704

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