Automatic epicardial adipose tissue segmentation in pulmonary computed tomography venography using nnU-Net

BACKGROUND: Epicardial adipose tissue (EAT) is a key aspect in the investigation of cardiac pathophysiology. We sought to develop a deep learning (DL) model for fully automatic extraction and quantification of EAT through pulmonary computed tomography venography (PCTV) images. METHODS: In this retro...

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Detalles Bibliográficos
Autores principales: Hu, Yifan, Jiang, Shanshan, Yu, Xiaojin, Huang, Sicong, Lan, Ziting, Yu, Yarong, Zhang, Xiaohui, Chen, Jin, Zhang, Jiayin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585557/
https://www.ncbi.nlm.nih.gov/pubmed/37869313
http://dx.doi.org/10.21037/qims-23-233

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585557/
https://www.ncbi.nlm.nih.gov/pubmed/37869313
http://dx.doi.org/10.21037/qims-23-233

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