Design of Neural Network Model for Auxiliary Diagnosis of Coarctation of Aorta

被引：0
|
作者：
Wu X. [1 ]
Luo T. [1 ]
Liu A. [2 ]
Yang M. [2 ]
Zhang W. [1 ]
机构：
[1] Beijing Laboratory of Advanced Information Networks, Beijing University of Posts and Telecommunications, Beijing
[2] Pediatric Heart Center, Beijing Anzhen Hospital Affiliated to the Capital Medical University, Beijing
来源：
Beijing Youdian Daxue Xuebao/Journal of Beijing University of Posts and Telecommunications | 2022年 / 45卷 / 04期
关键词：
Cardiac computed tomography image; Coarctation of aorta; Three-dimensional convolutional neural network; Three-dimensional spatial features;
D O I：
10.13190/j.jbupt.2021-185
中图分类号：
学科分类号：
摘要：
A model of coarctation of aorta based on three-dimensional aided diagnosis model of aortic coarctation based on three-dimensional convolution neural network is proposed, which combines the three-dimensional spatial features of cardiac computed tomography images. Compared with the traditional auxiliary diagnosis method of aortic coarctation, the proposed method not only improves the reliability of diagnosis results, but also directly processes images operation without complicated data preprocessing process. The performance in terms of diagnosis accuracy, precision and recall has been significantly improved. © 2022, Editorial Department of Journal of Beijing University of Posts and Telecommunications. All right reserved.
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页码：1 / 6
页数：5
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