Automatic coronary artery segmentation of CCTA images using UNet with a local contextual transformer

Automatic coronary artery segmentation of CCTA images using UNet with a local contextual transformer

Coronary artery segmentation is an essential procedure in the computer-aided diagnosis of coronary artery disease. It aims to identify and segment the regions of interest in the coronary circulation for further processing and diagnosis. Currently, automatic segmentation of coronary arteries is often...

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Bibliographic Details
Main Authors: Qianjin Wang, Lisheng Xu, Lu Wang, Xiaofan Yang, Yu Sun, Benqiang Yang, Stephen E. Greenwald
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-08-01
Series:Frontiers in Physiology
Subjects:
coronary artery segmentation
3D-Unet
local contextual transformer
dense residual connection
convolutional neural network
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2023.1138257/full

Internet

https://www.frontiersin.org/articles/10.3389/fphys.2023.1138257/full

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