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Deep learning radiomics of ultrasonography can predict response to neoadjuvant chemotherapy in breast cancer at an early stage of treatment: a prospective study 期刊论文
EUROPEAN RADIOLOGY, 2021, 页码: 11
作者:  Gu, Jionghui;  Tong, Tong;  He, Chang;  Xu, Min;  Yang, Xin;  Tian, Jie;  Jiang, Tianan;  Wang, Kun
Adobe PDF(3007Kb)  |  收藏  |  浏览/下载：276/48  |  提交时间：2021/12/28
Breast cancer  Deep learning  Neoadjuvant chemotherapy  Ultrasonography  Treatment outcome  
A radiomics-based biomarker for cytokeratin 19 status of hepatocellular carcinoma with gadoxetic acid-enhanced MRI 期刊论文
EUROPEAN RADIOLOGY, 2020, 卷号: 30, 期号: 5, 页码: 3004-3014
作者:  Wang, Wentao;  Gu, Dongsheng;  Wei, Jingwei;  Ding, Ying;  Yang, Li;  Zhu, Kai;  Luo, Rongkui;  Rao, Sheng-Xiang;  Tian, Jie;  Zeng, Mengsu
Adobe PDF(998Kb)  |  收藏  |  浏览/下载：369/56  |  提交时间：2020/03/30
Diagnosis  Cytokeratin 19  Hepatocellular carcinoma  
Pretreatment prediction of immunoscore in hepatocellular cancer: a radiomics-based clinical model based on Gd-EOB-DTPA-enhanced MRI imaging 期刊论文
EUROPEAN RADIOLOGY, 2019, 卷号: 29, 期号: 8, 页码: 4177-4187
作者:  Chen, Shuling;  Feng, Shiting;  Wei, Jingwei;  Liu, Fei;  Li, Bin;  Li, Xin;  Hou, Yang;  Gu, Dongsheng;  Tang, Mimi;  Xiao, Han;  Jia, Yingmei;  Peng, Sui;  Tian, Jie;  Kuang, Ming
收藏  |  浏览/下载：263/0  |  提交时间：2019/12/16
Carcinoma  Hepatocellular  Gadolinium ethoxybenzyl DTPA  Magnetic resonance imaging  Immunotherapy