Pulmonary nodule detection based on 3D feature pyramid network with incorporated squeeze‐and‐excitation‐attention mechanism

Mengyi Zhang; Zhaokai Kong; Wenjun Zhu; Fei Yan; Chao Xie

doi:10.1002/cpe.6237

journal article Mar 18, 2021

Pulmonary nodule detection based on 3D feature pyramid network with incorporated squeeze‐and‐excitation‐attention mechanism

Mengyi Zhang

Concurrency and Computation: Practice and Experience Vol. 35 No. 16 · Wiley

View at Publisher Save 10.1002/cpe.6237

Abstract

AbstractLung cancer is mainly caused by malignant lung nodules. Early detection and diagnosis of lung nodules can diagnose the disease in time and significantly improve the survival rate of the patients. With the rapid development of deep learning networks in the field of medical aid diagnosis, many deep networks have been applied to lung nodule detection. Statistical distribution shows that most of the lung nodule radii are too small to be well detected. Therefore, 3D feature pyramid network (FPN) for single‐stage pulmonary nodule detection is proposed to solve this problem by combining the 3D characteristics of computed tomography (CT) image data. In addition, the squeeze‐and‐excitation (SE)‐attention module is added to improve detection performance. The validity of the network is verified on the public pulmonary nodule dataset LUNA16. The competition performance metric (CPM) value reaches 0.8934. Compared with other pulmonary nodule detection networks, the detection performance of this network improved by 2%.

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Details

Published: Mar 18, 2021
Vol/Issue: 35(16)
License: View

Authors

M

Mengyi Zhang

College of Electrical Engineering and Control Science Nanjing Tech University Nanjing China

Z

Zhaokai Kong

College of Electrical Engineering and Control Science Nanjing Tech University Nanjing China

W

Wenjun Zhu

College of Electrical Engineering and Control Science Nanjing Tech University Nanjing China

F

Fei Yan

Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research and The Affiliated Cancer Hospital of Nanjing Medical University Nanjing China

C

Chao Xie

Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research and The Affiliated Cancer Hospital of Nanjing Medical University Nanjing China

Funding

National Natural Science Foundation of China Award: 61803198

Cite This Article

Mengyi Zhang, Zhaokai Kong, Wenjun Zhu, et al. (2021). Pulmonary nodule detection based on 3D feature pyramid network with incorporated squeeze‐and‐excitation‐attention mechanism. Concurrency and Computation: Practice and Experience, 35(16). https://doi.org/10.1002/cpe.6237

Pulmonary nodule detection based on 3D feature pyramid network with incorporated squeeze‐and‐excitation‐attention mechanism

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