Coronary artery segmentation under class imbalance using a U-Net based architecture on computed tomography angiography images

Coronary artery disease is caused primarily by vessel narrowing. Extraction of the coronary artery area from images is the preferred procedure for diagnosing coronary diseases. In this study, a U-Net-based network architecture, 3D Dense-U-Net, was adopted to perform fully automatic segmentation of t...

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Detalles Bibliográficos
Autores principales: Pan, Li-Syuan, Li, Chia-Wei, Su, Shun-Feng, Tay, Shee-Yen, Tran, Quoc-Viet, Chan, Wing P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8280179/
https://www.ncbi.nlm.nih.gov/pubmed/34262118
http://dx.doi.org/10.1038/s41598-021-93889-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8280179/
https://www.ncbi.nlm.nih.gov/pubmed/34262118
http://dx.doi.org/10.1038/s41598-021-93889-z

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