Three-Dimensional Craniofacial Landmark Detection in Series of CT Slices Using Multi-Phased Regression Networks

Geometrical assessments of human skulls have been conducted based on anatomical landmarks. If developed, the automatic detection of these landmarks will yield both medical and anthropological benefits. In this study, an automated system with multi-phased deep learning networks was developed to predi...

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Detalles Bibliográficos
Autores principales: Nishimoto, Soh, Saito, Takuya, Ishise, Hisako, Fujiwara, Toshihiro, Kawai, Kenichiro, Kakibuchi, Masao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10253222/
https://www.ncbi.nlm.nih.gov/pubmed/37296782
http://dx.doi.org/10.3390/diagnostics13111930

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10253222/
https://www.ncbi.nlm.nih.gov/pubmed/37296782
http://dx.doi.org/10.3390/diagnostics13111930

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