中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共3条，第1-3条 帮助

限定条件                        
已选(0)清除 条数/页：   排序方式：
3D Deep Learning Model for the Pretreatment Evaluation of Treatment Response in Esophageal Carcinoma: A Prospective Study (ChiCTR2000039279) 期刊论文
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2021, 卷号: 111, 期号: 4, 页码: 926-935
作者:  Li, Xiaoqin;  Gao, Han;  Zhu, Jian;  Huang, Yong;  Zhu, Yongbei;  Huang, Wei;  Li, Zhenjiang;  Sun, Kai;  Liu, Zhenyu;  Tian, Jie;  Li, Baosheng
收藏  |  浏览/下载：242/0  |  提交时间：2021/12/28
Mixed Metal Metal-Organic Frameworks Derived Carbon Supporting ZnFe2O4/C for High-Performance Magnetic Particle Imaging 期刊论文
NANO LETTERS, 2021, 卷号: 21, 期号: 7, 页码: 2730-2737
作者:  Jiang, Zhenqi;  Han, Xiao;  Du, Yang;  Li, Yanying;  Li, Yong;  Li, Juan;  Tian, Jie;  Wu, Aiguo
收藏  |  浏览/下载：234/0  |  提交时间：2021/06/07
Magnetic Particle Imaging  Metal-Organic Frameworks  High-Temperature Pyrolysis  Esophageal Squamous Cell Cancer  
Deep Learning-Based Prediction of Future Extrahepatic Metastasis and Macrovascular Invasion in Hepatocellular Carcinoma 期刊论文
JOURNAL OF HEPATOCELLULAR CARCINOMA, 2021, 卷号: 8, 页码: 1065-1076
作者:  Fu, Sirui;  Pan, Meiqing;  Zhang, Jie;  Zhang, Hui;  Tang, Zhenchao;  Li, Yong;  Mu, Wei;  Huang, Jianwen;  Dong, Di;  Duan, Chongyang;  Li, Xiaoqun;  Wang, Shuo;  Chen, Xudong;  He, Xiaofeng;  Yan, Jianfeng;  Lu, Ligong;  Tian, Jie
收藏  |  浏览/下载：247/0  |  提交时间：2021/11/03
aggressive disease progression  deep learning radiomics  clinical factors  high-risk  risk prediction