2D–3D reconstruction of distal forearm bone from actual X-ray images of the wrist using convolutional neural networks

The purpose of the study was to develop a deep learning network for estimating and constructing highly accurate 3D bone models directly from actual X-ray images and to verify its accuracy. The data used were 173 computed tomography (CT) images and 105 actual X-ray images of a healthy wrist joint. To...

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Detalles Bibliográficos
Autores principales: Shiode, Ryoya, Kabashima, Mototaka, Hiasa, Yuta, Oka, Kunihiro, Murase, Tsuyoshi, Sato, Yoshinobu, Otake, Yoshito
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/PMC8316567/
https://www.ncbi.nlm.nih.gov/pubmed/34315946
http://dx.doi.org/10.1038/s41598-021-94634-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8316567/
https://www.ncbi.nlm.nih.gov/pubmed/34315946
http://dx.doi.org/10.1038/s41598-021-94634-2

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