CASIA OpenIR

Browse/Search Results:  1-2 of 2 Help

Selected(0)Clear Items/Page:    Sort:
MRI features predict p53 status in lower-grade gliomas via a machine-learning approach 期刊论文
NEUROIMAGE-CLINICAL, 2018, 卷号: 17, 页码: 306-311
Authors:  Li, Yiming;  Qian, Zenghui;  Xu, Kaibin;  Wang, Kai;  Fan, Xing;  Li, Shaowu;  Jiang, Tao;  Liu, Xing;  Wang, Yinyan
Favorite  |  View/Download:25/0  |  Submit date:2018/10/10
P53  Lower-grade Gliomas  Radiogenomics  Prediction  Machine Learning  
Radiomic features predict Ki-67 expression level and survival in lower grade gliomas 期刊论文
JOURNAL OF NEURO-ONCOLOGY, 2017, 卷号: 135, 期号: 2, 页码: 317-324
Authors:  Li, Yiming;  Qian, Zenghui;  Xu, Kaibin;  Wang, Kai;  Fan, Xing;  Li, Shaowu;  Liu, Xing;  Wang, Yinyan;  Jiang, Tao
Favorite  |  View/Download:43/0  |  Submit date:2018/03/03
Ki-67  Lower Grade Gliomas  Radiogenomics  Prediction  Survival