A coronary artery CTA segmentation approach based on deep learning.

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第一作者： Caiyun,Huang

第一单位： School of Information and Mechanical Engineering, Hunan International Economics University, Changsha, China.

作者： Caiyun,Huang ^[1] ; Changhua,Yin ^[2]

作者单位： School of Information and Mechanical Engineering, Hunan International Economics University, Changsha, China. ^[1] Hunan Winmeter Energy Technology Co., Ltd, Changsha, China. ^[2]

关键词 Coronary computed tomography angiography (CTA)attention gate model level set function multi-model fusion three-dimensional fully convolutional network (3D FCN)

主题词算法(Algorithms);冠状血管(Coronary Vessels);人类(Humans);图像处理, 计算机辅助(Image Processing, Computer-Assisted);体层摄影术, X线计算机(Tomography, X-Ray Computed)

DOI 10.3233/XST-211063

PMID 34957947

发布时间 2022-04-01

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Journal of X-ray science and technology

2022年30卷2期

245-259页

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A coronary artery CTA segmentation approach based on deep learning.

Journal of X-ray science and technology

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A coronary artery CTA segmentation approach based on deep learning.

Journal of X-ray science and technology

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Journal of X-ray science and technology

相关期刊

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