Evaluation of U-Net models in automated cervical spine and cranial bone segmentation using X-ray images for traumatic atlanto-occipital dislocation diagnosis

Segmentation of the cervical spine in tandem with three cranial bones, hard palate, basion, and opisthion using X-ray images is crucial for measuring metrics used to diagnose traumatic atlanto-occipital dislocation (TAOD). Previous studies utilizing automated segmentation methods have been limited t...

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Detalles Bibliográficos
Autores principales: Shim, Jae-Hyuk, Kim, Woo Seok, Kim, Kwang Gi, Yee, Gi Taek, Kim, Young Jae, Jeong, Tae Seok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9744882/
https://www.ncbi.nlm.nih.gov/pubmed/36509842
http://dx.doi.org/10.1038/s41598-022-23863-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9744882/
https://www.ncbi.nlm.nih.gov/pubmed/36509842
http://dx.doi.org/10.1038/s41598-022-23863-w

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