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...

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Detalles Bibliográficos
Autores principales: Liu, Yi, Lu, Yao, Fan, Yubo, Mao, Longxia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Original Article
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

Internet

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

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