首页> Frontiers in oncology> Pretreatment DCE-MRI-Based Deep Learning Outperforms Radiomics Analysis in Predicting Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer.

Pretreatment DCE-MRI-Based Deep Learning Outperforms Radiomics Analysis in Predicting Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer.

导出 LinkOut

翻译打印收藏纠错

第一作者： Yunsong,Peng

第一单位： Division of Life Sciences and Medicine, School of Biomedical Engineering (Suzhou), University of Science and Technology of China, Hefei, China.;Medical Imaging Department, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.

作者： Yunsong,Peng ^[1] ; Ziliang,Cheng ^[2] ; Chang,Gong ^[3] ; Chushan,Zheng ^[2] ; Xiang,Zhang ^[2] ; Zhuo,Wu ^[2] ; Yaping,Yang ^[3] ; Xiaodong,Yang ^[1] ; Jian,Zheng ^[1] ; Jun,Shen ^[2]

作者单位： Division of Life Sciences and Medicine, School of Biomedical Engineering (Suzhou), University of Science and Technology of China, Hefei, China.;Medical Imaging Department, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China. ^[1] Department of Radiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China. ^[2] Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Breast Tumor Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China. ^[3]

关键词 breast cancer deep learning dynamic contrast-enhanced magnetic resonance imaging neoadjuvant chemotherapy radiomics

DOI 10.3389/fonc.2022.846775

PMID 35359387

发布时间 2022-04-02

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交