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Tracking-based deep learning method for temporomandibular joint segmentation
BACKGROUND: The shape, size, and surface information relating to the glenoid fossae and condyles in temporomandibular joints (TMJ) are essential for diagnosing and treating. Patients with TMJ disease often have surface abrasion which may cause fuzzy edges in computed tomography (CT) imaging, especia...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
AME Publishing Company
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8039636/ https://www.ncbi.nlm.nih.gov/pubmed/33850864 http://dx.doi.org/10.21037/atm-21-319 |