Technology of Graphic & Image
|
3803-3807

Improved CXR image classification algorithm based on XDense-RC-net

Cheng Wenjuan
Yu Guoqing
School of Computer Science & Information Engineering, Hefei University of Technology, Hefei 230601, China

Abstract

In the field of CXR image classification, current studies mostly use convolutional neural network and transfer learning technology. But in the process of rapidly constructing a network without considering the specificity of the CXR image. To solve the above problems, this paper proposed a novel XDense-RC-net. Based on the DenseNet model, this method improved the capability of feature extraction and feature fusion by introducing a new spatial attention mechanism in the densely connected layer, optimized transition module of DenseNet by using two different pooling strategies to enhance the noise immunity of the model. XDense-RC-net used the chest X-ray14(multi-label and 14-class) and COVIDx(single label and 3-class) datasets for validating. In the multi-label classification experiments, the average AUC score reaches 0.854, which is 0.109 higher than the benchmark method. In the single-label classification experiments, the average accuracy reaches 96.75%, which is 7.75% higher than the baseline model. The results show that XDense-RC-net improves the accuracy of CXR image classification and can generalize to multi-label and single-label classification tasks.

Foundation Support

国家自然科学基金资助项目(62176082)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.04.0213
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 12
Section: Technology of Graphic & Image
Pages: 3803-3807
Serial Number: 1001-3695(2022)12-045-3803-05

Publish History

[2022-07-08] Accepted Paper
[2022-12-05] Printed Article

Cite This Article

程文娟, 于国庆. 基于XDense-RC-net的CXR图像分类算法 [J]. 计算机应用研究, 2022, 39 (12): 3803-3807. (Cheng Wenjuan, Yu Guoqing. Improved CXR image classification algorithm based on XDense-RC-net [J]. Application Research of Computers, 2022, 39 (12): 3803-3807. )

About the Journal

  • 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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