The following publications are possibly variants of this publication:
- Attention-Guided Feature Extraction and Multiscale Feature Fusion 3D ResNet for Automated Pulmonary Nodule DetectionGuanglu Zhang, Hongjun Zhang, Yuhua Yao, Qiuhui Shen. access, 10:61530-61543, 2022. [doi]
- CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT ScansTao Song, Jieneng Chen, Xiangde Luo, Yechong Huang, Xinglong Liu, Ning Huang, Yinan Chen, Zhaoxiang Ye, Huaqiang Sheng, Shaoting Zhang, Guotai Wang. miccai 2020: 550-559 [doi]
- Pulmonary Nodule Detection Based on Multi-branch 3D Squeeze-and-Excitation NetworkYuechao Zhang, Jianxin Zhang, Chao Che, Kai Lin, Dongsheng Zhou, Qiang Zhang 0008, Xiaopeng Wei. dasc 2019: 505-509 [doi]
- Cross attention guided multi-scale feature fusion for false-positive reduction in pulmonary nodule detectionZhongxuan Gu, Yueyang Li, Haichi Luo, Caidi Zhang, Hongqun Du. cbm, 151(Part):106302, 2022. [doi]
- Relu Cascade of Feature Pyramid Networks for CT Pulmonary Nodule DetectionGuangrui Mu, Yanbo Chen, Dijia Wu, Yiqiang Zhan, Xiang Sean Zhou, Yaozong Gao. miccai 2019: 444-452 [doi]
- Pulmonary nodule detection based on 3D feature pyramid network with incorporated squeeze-and-excitation-attention mechanismMengyi Zhang, Zhaokai Kong, Wenjun Zhu, Fei Yan, Chao Xie. concurrency, 35(16), 2023. [doi]
- 3D Convolutional Neural Networks Fusion Model for Lung Nodule Detection onClinical CT ScansGuitao Cao, Tiantian Huang, Kai Hou, Wenming Cao, Peng Liu, Jiawei Zhang. bibm 2018: 973-978 [doi]
- Multi-Modal Feature Fusion-Based Multi-Branch Classification Network for Pulmonary Nodule Malignancy Suspiciousness DiagnosisHaiying Yuan, Yanrui Wu, Mengfan Dai. jdi, 36(2):617-626, April 2023. [doi]