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Prediction of neoadjuvant chemotherapy efficacy in patients with HER2-low breast cancer based on ultrasound radiomics.

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第一作者： Qing,Peng

第一单位： School of Health Management, China Medical University, Shenyang, Liaoning, 110122, China.

作者： Qing,Peng ^[1] ; Ziyao,Ji ^[2] ; Nan,Xu ^[1] ; Zixian,Dong ^[3] ; Tian,Zhang ^[3] ; Mufei,Ding ^[1] ; Le,Qu ^[1] ; Yimo,Liu ^[1] ; Jun,Xie ^[1] ; Feng,Jin ^[3] ; Bo,Chen ^[4] ; Jiangdian,Song ^[5] ; Ang,Zheng ^[6]

作者单位： School of Health Management, China Medical University, Shenyang, Liaoning, 110122, China. ^[1] Department of Ultrasound, The First Hospital of China Medical University, Shenyang, Liaoning, 110001, China. ^[2] Department of Breast Surgery, The First Hospital of China Medical University, No.155 Nanjing North Street, Heping District, Shenyang, Liaoning Province, 110001, P. R. China. ^[3] Department of Breast Surgery, The First Hospital of China Medical University, No.155 Nanjing North Street, Heping District, Shenyang, Liaoning Province, 110001, P. R. China. bochen@cmu.edu.cn. ^[4] School of Health Management, China Medical University, Shenyang, Liaoning, 110122, China. song.jd0910@gmail.com.;China Medical University, No.77 Puhe Road, Shenbei New District, Shenyang, Liaoning, 110122, China. song.jd0910@gmail.com. ^[5] Department of Breast Surgery, The First Hospital of China Medical University, No.155 Nanjing North Street, Heping District, Shenyang, Liaoning Province, 110001, P. R. China. azheng@cmu.edu.cn. ^[6]

关键词 HER2-low breast cancer Machine learning Neoadjuvant chemotherapy Radiomics Ultrasound