Automatic Aortic Valve Cusps Segmentation from CT Images Based on the Cascading Multiple Deep Neural Networks

Accurate morphological information on aortic valve cusps is critical in treatment planning. Image segmentation is necessary to acquire this information, but manual segmentation is tedious and time consuming. In this paper, we propose a fully automatic aortic valve cusps segmentation method from CT i...

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Detalles Bibliográficos
Autores principales: Aoyama, Gakuto, Zhao, Longfei, Zhao, Shun, Xue, Xiao, Zhong, Yunxin, Yamauchi, Haruo, Tsukihara, Hiroyuki, Maeda, Eriko, Ino, Kenji, Tomii, Naoki, Takagi, Shu, Sakuma, Ichiro, Ono, Minoru, Sakaguchi, Takuya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8780687/
https://www.ncbi.nlm.nih.gov/pubmed/35049852
http://dx.doi.org/10.3390/jimaging8010011

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8780687/
https://www.ncbi.nlm.nih.gov/pubmed/35049852
http://dx.doi.org/10.3390/jimaging8010011

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