Shape variation analyzer: a classifier for temporomandibular joint damaged by osteoarthritis

We developed a deep learning neural network, the Shape Variation Analyzer (SVA), that allows disease staging of bony changes in temporomandibular joint (TMJ) osteoarthritis (OA). The sample was composed of 259 TMJ CBCT scans for the training set and 34 for the testing dataset. The 3D meshes had been...

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發表在:Proc SPIE Int Soc Opt Eng
Main Authors: Ribera, Nina Tubau, de Dumast, Priscille, Yatabe, Marilia, Ruellas, Antonio, Ioshida, Marcos, Paniagua, Beatriz, Styner, Martin, Gonçalves, João Roberto, Bianchi, Jonas, Cevidanes, Lucia, Prieto, Juan-Carlos
格式: Artigo
語言:Inglês
出版: 2019
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Article
在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC6663087/
https://ncbi.nlm.nih.gov/pubmed/31359900
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/12.2506018
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