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

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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Bibliographic Details
Main Authors: Gakuto Aoyama, Longfei Zhao, Shun Zhao, Xiao Xue, Yunxin Zhong, Haruo Yamauchi, Hiroyuki Tsukihara, Eriko Maeda, Kenji Ino, Naoki Tomii, Shu Takagi, Ichiro Sakuma, Minoru Ono, Takuya Sakaguchi
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Journal of Imaging
Subjects:
segmentation
seep learning
computed tomography
aortic valve
Online Access:https://www.mdpi.com/2313-433X/8/1/11

Internet

https://www.mdpi.com/2313-433X/8/1/11

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