BreastCancerAutoSegmentor

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

Build Status

Linux	Windows	Mac OS
Passed	Passed	Not Available

BreastCancerAutoSegmentor Description

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.

Citation

Please cite the reposiotry when you use it for academic research. The research paper is comming soon.

*** Warning

Disclaimer

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.

Prerequisites

Installation

Getting Started

For your study

BreastCancer AutoSegmentor

​ 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.

License

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.

Main Developers

• 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

Contact

We are happy to help you with any questions. Please contact Zhenwei Shi. Email: zhenwei_shi88@163.com

We welcome contributions to BC-AutoSegmentor.