Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 11
3509-3515

Pediatric bone age assessment method combined with dual attention network

Zhang Xin
Zhang Junhua
Zhang Shuai
School of Information Science & Engineering, Yunnan University, Kunming 650500, China
DOI: 10.19734/j.issn.1001-3695.2022.03.0110

Abstract

Bone age assessment is a common method to detect endocrine and growth abnormalities in children. But in deep learning methods, low-quality hand X-ray images reduce the final evaluation accuracy. To solve this problem, this paper proposed an alignment network to increase the area of interest in hand X-ray images. This network used the Swin Transformer structure as the backbone network to learn image hand similarity and obtain affine coefficients and did not require large-scale hand annotation during the training process. In the bone age assessment network, for the improvement of efficient channel attention and spatial attention mechanism, this paper proposed dual-pool efficient channel attention and asymmetric convolution spatial attention method and combined these two methods in the form of dual attention and Xception network to propose DA-Xception. When tested on the RSNA dataset, this bone age assessment method achieved a mean absolute error of 5.37 months. Compared with other deep learning methods, this method can fully extract features and optimize the evaluation results.

Foundation Support

国家自然科学基金资助项目(62063034,61841112)
云南大学研究生实践创新项目(2021Z50)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.03.0110
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 11
Section: Technology of Graphic & Image
Pages: 3509-3515
Serial Number: 1001-3695(2022)11-051-3509-07

Publish History

[2022-05-16] Accepted Paper
[2022-11-05] Printed Article

Cite This Article

张鑫, 张俊华, 张帅. 融合双重注意力网络的儿童骨龄评估方法 [J]. 计算机应用研究, 2022, 39 (11): 3509-3515. (Zhang Xin, Zhang Junhua, Zhang Shuai. Pediatric bone age assessment method combined with dual attention network [J]. Application Research of Computers, 2022, 39 (11): 3509-3515. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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