Pulmonary Nodule Detection Based on RPN with Squeeze-and-Excitation Block

Xiaoxi Lu, Xingyue Wang, Jiansheng Fang, Na Zeng, Yao Xiang, Jingfeng Zhang, Jianjun Zheng, Jiang Liu

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review


Early detection of lung cancer is a crucial step to improve the chances of survival. To detect the pulmonary nodules, various methods are proposed including one-stage object detection methods (e.g., YOLO, SSD) and two-stage detection methods(e.g., Faster RCNN). Two-stage methods are more accurate than one-stage, thus more likely used in the detection of a small object. Faster RCNN as a two-stage method, ensuring more efficient and accurate region proposal generation, is consistent with our task's objective, that is, detecting small 3-D nodules from large CT image volume. Therefore, in our work, we used 3-D region proposal network (RPN) proposed in Faster RCNN to detect nodules. However, different from natural images with clear boundaries and textures, pulmonary nodules have different types and locations, which are hard to recognize. Thus with the thought that if the network can learn more features of the nodules, the performance would be better, we also applied the "Squeeze-and-Excitation"blocks to the 3-D RPN, which we term it as SE-Res RPN. The experimental results show that the sensitivity of SE-Res RPN in 10-fold cross-validation of LUNA 16 is 93.7, which achieves great performance without a false positive reduction stage.

Original languageEnglish
Title of host publicationICCCV 2022 - Proceedings of the 5th International Conference on Control and Computer Vision
PublisherAssociation for Computing Machinery
Number of pages8
ISBN (Electronic)9781450397315
Publication statusPublished - 19 Aug 2022
Externally publishedYes
Event5th International Conference on Control and Computer Vision, ICCCV 2022 - Virtual, Online, China
Duration: 19 Aug 202221 Aug 2022

Publication series

NameACM International Conference Proceeding Series


Conference5th International Conference on Control and Computer Vision, ICCCV 2022
CityVirtual, Online


  • Pulmonary nodule detection
  • Region proposal network
  • Squeeze-and-excitation block

ASJC Scopus subject areas

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


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