[MedIA2021]SCPM-Net:An Anchor-free 3D Lung Nodule Detection Network using SphereRepresentation and Center Points Matching

• [News] Now, the training and testing code of a stronger version CPMNet & SCPMNet can be found CPMNetV2.
• Code for the early accepted MICCAI2020 paper "CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT Scans" (MICCAI2020) and its journal extension pubished on Medical Image Analysis "SCPM-Net: An Anchor-free 3D Lung Nodule Detection Network using Sphere Representation and Center Points Matching" (MedIA2021).

If you find it's useful for your research, please consider to cite the following:

@inproceedings{song2020cpm,
title={CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT Scans},
author={Song, Tao and Chen, Jieneng and Luo, Xiangde and Huang, Yechong and Liu, Xinglong and Huang, Ning and Chen, Yinan and Ye, Zhaoxiang and Sheng, Huaqiang and Zhang, Shaoting and others},
booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
pages={550--559},
year={2020},
organization={Springer}
}

@article{luo2021scpmnet,
title={SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matching},
author={Luo, Xiangde and Song, Tao and Wang, Guotai and Chen, Jieneng and Chen, Yinan and Li, Kang and Metaxas, Dimitris N and Zhang, Shaoting},
journal={Medical Image Analysis},
volume={75},
pages={102287},
year={2022},
publisher={Elsevier}
}

The training code will be released soon, any questions please contact Xiangde.