A machine learning approach for predicting descending thoracic aortic diameter

BACKGROUND: To establish models for predicting descending thoracic aortic diameters and provide evidence for selecting the size of the stent graft for TBAD patients. METHODS: A total of 200 candidates without severe deformation of aorta were included. CTA information was collected and 3D reconstruct...

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Detalles Bibliográficos
Autores principales: Yu, Ronghuang, Jin, Min, Wang, Yaohui, Cai, Xiujuan, Zhang, Keyin, Shi, Jian, Zhou, Zeyi, Fan, Fudong, Pan, Jun, Zhou, Qing, Tang, Xinlong, Wang, Dongjin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9969122/
https://www.ncbi.nlm.nih.gov/pubmed/36860275
http://dx.doi.org/10.3389/fcvm.2023.1097116

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9969122/
https://www.ncbi.nlm.nih.gov/pubmed/36860275
http://dx.doi.org/10.3389/fcvm.2023.1097116

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