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Deep learning model based on contrast-enhanced ultrasound for predicting early recurrence after thermal ablation of colorectal cancer liver metastasis 期刊论文
EUROPEAN RADIOLOGY, 2022, 页码: 11
作者:  Zhao, Qin-xian;  He, Xue-lei;  Wang, Kun;  Cheng, Zhi-gang;  Han, Zhi-yu;  Liu, Fang-yi;  Yu, Xiao-ling;  Hui, Zhong;  Yu, Jie;  Chao, An;  Liang, Ping
收藏  |  浏览/下载：125/0  |  提交时间：2023/03/20
Thermal ablation  Colorectal neoplasms  Ultrasound  Deep learning  Recurrence  
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：262/46  |  提交时间：2021/12/28
Breast cancer  Deep learning  Neoadjuvant chemotherapy  Ultrasonography  Treatment outcome  
Accurate prediction of responses to transarterial chemoembolization for patients with hepatocellular carcinoma by using artificial intelligence in contrast-enhanced ultrasound 期刊论文
EUROPEAN RADIOLOGY, 2020, 卷号: 30, 期号: 4, 页码: 2365-2376
作者:  Liu, Dan;  Liu, Fei;  Xie, Xiaoyan;  Su, Liya;  Liu, Ming;  Xie, Xiaohua;  Kuang, Ming;  Huang, Guangliang;  Wang, Yuqi;  Zhou, Hui;  Wang, Kun;  Lin, Manxia;  Tian, Jie
收藏  |  浏览/下载：221/0  |  提交时间：2020/06/02
Therapeutic chemoembolization  Hepatocellular carcinoma  Ultrasonography  Deep learning  
Ultrasound-based radiomics score: a potential biomarker for the prediction of microvascular invasion in hepatocellular carcinoma 期刊论文
EUROPEAN RADIOLOGY, 2019, 卷号: 29, 期号: 6, 页码: 2890-2901
作者:  Hu, Hang-tong;  Wang, Zhu;  Huang, Xiao-wen;  Chen, Shu-ling;  Zheng, Xin;  Ruan, Si-min;  Xie, Xiao-yan;  Lu, Ming-de;  Yu, Jie;  Tian, Jie;  Liang, Ping;  Wang, Wei;  Kuang, Ming
收藏  |  浏览/下载：320/0  |  提交时间：2019/07/12
Nomogram  Radiomics  Ultrasonography