Nature Communications (Jul 2021)
Author Correction: Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer
- Xueyi Zheng,
- Zhao Yao,
- Yini Huang,
- Yanyan Yu,
- Yun Wang,
- Yubo Liu,
- Rushuang Mao,
- Fei Li,
- Yang Xiao,
- Yuanyuan Wang,
- Yixin Hu,
- Jinhua Yu,
- Jianhua Zhou
Affiliations
- Xueyi Zheng
- Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine
- Zhao Yao
- Department of Electronic Engineering, Fudan University
- Yini Huang
- Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine
- Yanyan Yu
- Paul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
- Yun Wang
- Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine
- Yubo Liu
- Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine
- Rushuang Mao
- Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine
- Fei Li
- Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine
- Yang Xiao
- Paul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
- Yuanyuan Wang
- Department of Electronic Engineering, Fudan University
- Yixin Hu
- Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine
- Jinhua Yu
- Department of Electronic Engineering, Fudan University
- Jianhua Zhou
- Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine
- DOI
- https://doi.org/10.1038/s41467-021-24605-8
- Journal volume & issue
-
Vol. 12,
no. 1
pp. 1 – 1
Abstract
No abstracts available.