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Deep learning radiomics of ultrasonography for comprehensively predicting tumor and axillary lymph node status after neoadjuvant chemotherapy in breast cancer patients: A multicenter study |
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| Authors: | Jionghui Gu PhD Tong Tong PhD Dong Xu PhD Fang Cheng MD Chengyu Fang MD Chang He MD Jing Wang MD Baohua Wang PhD Xin Yang PhD Kun Wang PhD Jie Tian PhD Tian'an Jiang PhD |
| Institution: | 1. Department of Ultrasound, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
CAS Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China;2. CAS Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China;3. Department of Ultrasound, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, China;4. Department of Ultrasound, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China;5. CAS Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China |
| Abstract: | |
| Keywords: | breast cancer deep learning lymph node metastasis neoadjuvant chemotherapy pathologic complete response treatment decision ultrasonography |