/SCPM-Net

[MICCAI2020]CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT Scans

Primary LanguagePythonMIT LicenseMIT

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

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},
  journal = {Medical Image Analysis},
  pages = {102287},
  year = {2021},
  issn = {1361-8415}
}

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