Improved Cascade R-CNN for Medical Images of Pulmonary Nodules Detection Combining Dilated HRNet

Shihuai Xu, Huijuan Lu, Minchao Ye, Ke Yan, Wenjie Zhu, Qun Jin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Using Computer-aided Diagnostic (CAD) to analyze medical images is currently a focused area, and deep learning is widely used in the detection of pulmonary nodules in medical imaging. Current detection algorithms are effective in detecting large pulmonary nodules, but their detection effect on small nodules and micro-nodules is not ideal. In order to solve this problem, this paper uses high-resolution network (HRNet) as the backbone network of Cascade R-CNN to improve its detection accuracy on small targets. HRNet can preserve the information of small target nodules in the feature map with high resolution and obtain a finegrained feature map for the detection task. This paper also combines dilated convolution with HRNet and proposes an improved HRNet named dilated HRNet. Experiments on the LIDC-IDRI dataset show that the improved Cascade R-CNN increases the detection accuracy of pulmonary nodules, especially on small nodules.

Original languageEnglish
Title of host publicationProceedings of the 2020 12th International Conference on Machine Learning and Computing, ICMLC 2020
PublisherAssociation for Computing Machinery
Pages283-288
Number of pages6
ISBN (Electronic)9781450376426
DOIs
Publication statusPublished - 2020 Feb 15
Event12th International Conference on Machine Learning and Computing, ICMLC 2020 - Shenzhen, China
Duration: 2020 Feb 152020 Feb 17

Publication series

NameACM International Conference Proceeding Series

Conference

Conference12th International Conference on Machine Learning and Computing, ICMLC 2020
CountryChina
CityShenzhen
Period20/2/1520/2/17

Keywords

  • Cascade R-CNN
  • dilated convolution
  • HRNet
  • Medical images
  • pulmonary nodules detection

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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  • Cite this

    Xu, S., Lu, H., Ye, M., Yan, K., Zhu, W., & Jin, Q. (2020). Improved Cascade R-CNN for Medical Images of Pulmonary Nodules Detection Combining Dilated HRNet. In Proceedings of the 2020 12th International Conference on Machine Learning and Computing, ICMLC 2020 (pp. 283-288). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3383972.3384070