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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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| 出版年: | Proc SPIE Int Soc Opt Eng |
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| 主要な著者: | , , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2019
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| 主題: | |
| オンライン･アクセス: | 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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