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3D cephalometric landmark detection by multiple stage deep reinforcement learning

The lengthy time needed for manual landmarking has delayed the widespread adoption of three-dimensional (3D) cephalometry. We here propose an automatic 3D cephalometric annotation system based on multi-stage deep reinforcement learning (DRL) and volume-rendered imaging. This system considers geometr...

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Detalles Bibliográficos
Autores principales:	Kang, Sung Ho, Jeon, Kiwan, Kang, Sang-Hoon, Lee, Sang-Hwy
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8410904/ https://www.ncbi.nlm.nih.gov/pubmed/34471202 http://dx.doi.org/10.1038/s41598-021-97116-7

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