Rapid vessel segmentation and reconstruction of head and neck angiograms using 3D convolutional neural network

The computed tomography angiography (CTA) postprocessing manually recognized by technologists is extremely labor intensive and error prone. We propose an artificial intelligence reconstruction system supported by an optimized physiological anatomical-based 3D convolutional neural network that can au...

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Detalles Bibliográficos
Autores principales: Fu, Fan, Wei, Jianyong, Zhang, Miao, Yu, Fan, Xiao, Yueting, Rong, Dongdong, Shan, Yi, Li, Yan, Zhao, Cheng, Liao, Fangzhou, Yang, Zhenghan, Li, Yuehua, Chen, Yingmin, Wang, Ximing, Lu, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7518426/
https://www.ncbi.nlm.nih.gov/pubmed/32973154
http://dx.doi.org/10.1038/s41467-020-18606-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7518426/
https://www.ncbi.nlm.nih.gov/pubmed/32973154
http://dx.doi.org/10.1038/s41467-020-18606-2

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