DeepHeartCT: A fully automatic artificial intelligence hybrid framework based on convolutional neural network and multi-atlas segmentation for multi-structure cardiac computed tomography angiography image segmentation

DeepHeartCT: A fully automatic artificial intelligence hybrid framework based on convolutional neural network and multi-atlas segmentation for multi-structure cardiac computed tomography angiography image segmentation

Cardiac computed tomography angiography (CTA) is an emerging imaging modality for assessing coronary artery as well as various cardiovascular structures. Recently, deep learning (DL) methods have been successfully applied to many applications of medical image analysis including cardiac CTA structure...

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Bibliographic Details
Main Authors: Vy Bui, Li-Yueh Hsu, Lin-Ching Chang, An-Yu Sun, Loc Tran, Sujata M. Shanbhag, Wunan Zhou, Nehal N. Mehta, Marcus Y. Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Artificial Intelligence
Subjects:
cardiac computed tomography
heart segmentation
multi-atlas segmentation
convolutional neural network
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2022.1059007/full

Internet

https://www.frontiersin.org/articles/10.3389/frai.2022.1059007/full

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