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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Bibliografiske detaljer
Udgivet i:Sci Rep
Main Authors: Shim, Eungjune, Kim, Joon Yub, Yoon, Jong Pil, Ki, Se-Young, Lho, Taewoo, Kim, Youngjun, Chung, Seok Won
Format: Artigo
Sprog:Inglês
Udgivet: Nature Publishing Group UK 2020
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Article
Online adgang: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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