Detection of the rotator cuff tears using a novel convolutional neural network from magnetic resonance image (MRI)

The rotator cuff tear is a common situation for basketballers, handballers, or other athletes that strongly use their shoulders. This injury can be diagnosed precisely from a magnetic resonance (MR) image. In this paper, a novel deep learning-based framework is proposed to diagnose rotator cuff tear...

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Detalles Bibliográficos
Autores principales: Esfandiari, Mohammad Amin, Fallah Tafti, Mohammad, Jafarnia Dabanloo, Nader, Yousefirizi, Fereshteh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10189183/
https://www.ncbi.nlm.nih.gov/pubmed/37206038
http://dx.doi.org/10.1016/j.heliyon.2023.e15804

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10189183/
https://www.ncbi.nlm.nih.gov/pubmed/37206038
http://dx.doi.org/10.1016/j.heliyon.2023.e15804

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