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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Vydáno v:Sci Rep
Hlavní autoři: Shim, Eungjune, Kim, Joon Yub, Yoon, Jong Pil, Ki, Se-Young, Lho, Taewoo, Kim, Youngjun, Chung, Seok Won
Médium: Artigo
Jazyk:Inglês
Vydáno: Nature Publishing Group UK 2020
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Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7518447/
https://ncbi.nlm.nih.gov/pubmed/32973192
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-72357-0
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