A Three-Dimensional Deep Convolutional Neural Network for Automatic Segmentation and Diameter Measurement of Type B Aortic Dissection

OBJECTIVE: To provide an automatic method for segmentation and diameter measurement of type B aortic dissection (TBAD). MATERIALS AND METHODS: Aortic computed tomography angiographic images from 139 patients with TBAD were consecutively collected. We implemented a deep learning method based on a thr...

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Detalles Bibliográficos
Autores principales: Yu, Yitong, Gao, Yang, Wei, Jianyong, Liao, Fangzhou, Xiao, Qianjiang, Zhang, Jie, Yin, Weihua, Lu, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2021
Materias:
Cardiovascular Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7817629/
https://www.ncbi.nlm.nih.gov/pubmed/33236538
http://dx.doi.org/10.3348/kjr.2020.0313

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7817629/
https://www.ncbi.nlm.nih.gov/pubmed/33236538
http://dx.doi.org/10.3348/kjr.2020.0313

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