Automated rotator cuff tear classification using 3D convolutional neural network

Rotator cuff tear (RCT) is one of the most common shoulder injuries. When diagnosing RCT, skilled orthopedists visually interpret magnetic resonance imaging (MRI) scan data. For automated and accurate diagnosis of RCT, we propose a full 3D convolutional neural network (CNN) based method using deep l...

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Detalles Bibliográficos
Autores principales: Shim, Eungjune, Kim, Joon Yub, Yoon, Jong Pil, Ki, Se-Young, Lho, Taewoo, Kim, Youngjun, Chung, Seok Won
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7518447/
https://www.ncbi.nlm.nih.gov/pubmed/32973192
http://dx.doi.org/10.1038/s41598-020-72357-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7518447/
https://www.ncbi.nlm.nih.gov/pubmed/32973192
http://dx.doi.org/10.1038/s41598-020-72357-0

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