Fully Automatic Knee Joint Segmentation and Quantitative Analysis for Osteoarthritis from Magnetic Resonance (MR) Images Using a Deep Learning Model

BACKGROUND: We aimed to develop and evaluate a deep learning-based method for fully automatic segmentation of knee joint MR imaging and quantitative computation of knee osteoarthritis (OA)-related imaging biomarkers. MATERIAL/METHODS: This retrospective study included 843 volumes of proton density-w...

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Detalles Bibliográficos
Autores principales: Tang, Xiongfeng, Guo, Deming, Liu, Aie, Wu, Dijia, Liu, Jianhua, Xu, Nannan, Qin, Yanguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Scientific Literature, Inc. 2022
Materias:
Clinical Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206408/
https://www.ncbi.nlm.nih.gov/pubmed/35698440
http://dx.doi.org/10.12659/MSM.936733

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206408/
https://www.ncbi.nlm.nih.gov/pubmed/35698440
http://dx.doi.org/10.12659/MSM.936733

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