In this repository, we provide a deep learning-based toolkit for segmentation of common structures in breast MRI, such as breast region, fibroglandular tissue and tumor
| Linux | Windows | Mac OS |
|---|---|---|
| Passed | Passed | Not Available |
Welcome to BreastCancerAutoSegmentor (BC-AutoSegmentor) repository. BC-AutoSegmentor toolkit was developed by deep nueral networks with more than 1000 patients with breast DCE-MRI from multi-centers and multi-regions. The toolkit showed in good performance and generalizability in independent external validation. More details are avaiable in our research paper comming soon.
Note that, the models avaiable in the current repository is only for reserach purposes.
Please cite the reposiotry when you use it for academic research. The research paper is comming soon.
BC-AutoSegmentor is still under development. Although we have tested and evaluated the workflow under many different situations, errors and bugs still happen unfortunately. Please use it cautiously. If you find any, please contact us and we would fix them ASAP.
BC-AutoSegmentor is still under development. Although we have tested and evaluated the workflow under many different situations, errors and bugs still happen unfortunately. Please use it cautiously. If you find any, please contact us and we would fix them ASAP.
BC-AutoSegmentor may not be used for commercial purposes. This package is freely available to browse, download, and use for scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License.
- Zhenwei Shi 12
- [Zihan Cao] 3
- [Chu Han] 12
- [Zaiyi Liu] 12
1 Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
2 Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, China
3 Guanzhou University, Guangzhou, China
We are happy to help you with any questions. Please contact Zhenwei Shi. Email: zhenwei_shi88@163.com
We welcome contributions to BC-AutoSegmentor.