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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：317/59  |  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：408/68  |  提交时间：2020/03/30
Diagnosis  Cytokeratin 19  Hepatocellular carcinoma  
Radiomics signature: a biomarker for the preoperative discrimination of lung invasive adenocarcinoma manifesting as a ground-glass nodule 期刊论文
EUROPEAN RADIOLOGY, 2019, 卷号: 29, 期号: 2, 页码: 889-897
作者:  Fan, Li;  Fang, MengJie;  Li, ZhaoBin;  Tu, WenTing;  Wang, ShengPing;  Chen, WuFei;  Tian, Jie;  Dong, Di;  Liu, ShiYuan
Adobe PDF(1323Kb)  |  收藏  |  浏览/下载：373/42  |  提交时间：2019/07/12
Lung  Adenocarcinoma  Tomography  x-ray computed  Computational biology  Solitary pulmonary nodule  
Preoperative prediction of cavernous sinus invasion by pituitary adenomas using a radiomics method based on magnetic resonance images 期刊论文
EUROPEAN RADIOLOGY, 2019, 卷号: 29, 期号: 3, 页码: 1625-1634
作者:  Niu, Jianxing;  Zhang, Shuaitong;  Ma, Shunchang;  Diao, Jinfu;  Zhou, Wenjianlong;  Tian, Jie;  Zang, Yali;  Jia, Wang
浏览  |  Adobe PDF(1261Kb)  |  收藏  |  浏览/下载：416/90  |  提交时间：2019/07/12
Pituitary adenomas  Cavernous sinus  Neoplasm invasion  Nomogram  Support vector machine