Generative Adversarial Network (GAN) for Automatic Reconstruction of the 3D Spine Structure by Using Simulated Bi-Planar X-ray Images

In this study, we modified the previously proposed X2CT-GAN to build a 2Dto3D-GAN of the spine. This study also incorporated the radiologist’s perspective in the adjustment of input signals to prove the feasibility of the automatic production of three-dimensional (3D) structures of the spine from si...

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Detalles Bibliográficos
Autores principales: Yang, Ching-Juei, Lin, Cheng-Li, Wang, Chien-Kuo, Wang, Jing-Yao, Chen, Chih-Chia, Su, Fong-Chin, Lee, Yin-Ju, Lui, Chun-Chung, Yeh, Lee-Ren, Fang, Yu-Hua Dean
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9139385/
https://www.ncbi.nlm.nih.gov/pubmed/35626277
http://dx.doi.org/10.3390/diagnostics12051121

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9139385/
https://www.ncbi.nlm.nih.gov/pubmed/35626277
http://dx.doi.org/10.3390/diagnostics12051121

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