TY - GEN
T1 - Spherical Detection Frame and Attention-Based Pulmonary Nodule Detection
AU - Dong, Qiuyu
AU - Lu, Huijuan
AU - Wang, Renfeng
AU - Ming, Zhendong
AU - Zhu, Wenjie
AU - Yao, Yudong
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Lung cancer is one of the cancers with the highest incidence and mortality in the world, and early detection of lung nodules can effectively reduce the mortality rate of lung cancer. At present, most of the lung nodule detection methods based on deep learning face the problem of low sensitivity or high false positive rate. This paper proposes a loss function suitable for the clinical features of lung nodules and introduces a novel Squeeze-and-Excitation module in the depth direction, which alleviates the problem of high false positive rate in the detection process and achieves good results. In this paper, the competition performance metric (CPM) on the LUNA16 dataset reached 88.16%.
AB - Lung cancer is one of the cancers with the highest incidence and mortality in the world, and early detection of lung nodules can effectively reduce the mortality rate of lung cancer. At present, most of the lung nodule detection methods based on deep learning face the problem of low sensitivity or high false positive rate. This paper proposes a loss function suitable for the clinical features of lung nodules and introduces a novel Squeeze-and-Excitation module in the depth direction, which alleviates the problem of high false positive rate in the detection process and achieves good results. In this paper, the competition performance metric (CPM) on the LUNA16 dataset reached 88.16%.
KW - Attention mechanisms
KW - Feature pyramids
KW - Pulmonary nodule detection
KW - Spherical detection frame
UR - http://www.scopus.com/inward/record.url?scp=85192447440&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85192447440&partnerID=8YFLogxK
U2 - 10.1109/ITME60234.2023.00152
DO - 10.1109/ITME60234.2023.00152
M3 - Conference contribution
AN - SCOPUS:85192447440
T3 - Proceedings - 2023 13th International Conference on Information Technology in Medicine and Education, ITME 2023
SP - 740
EP - 744
BT - Proceedings - 2023 13th International Conference on Information Technology in Medicine and Education, ITME 2023
T2 - 13th International Conference on Information Technology in Medicine and Education, ITME 2023
Y2 - 24 November 2023 through 26 November 2023
ER -