中文版 | English

在结果中检索

CASIA OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共5条，第1-5条 帮助

限定条件                        
已选(0)清除 条数/页：   排序方式：
A deep learning radiomics analysis for identifying sinus invasion in patients with meningioma before operation using tumor and peritumoral regions 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2022, 卷号: 149, 页码: 7
作者:  Sun, Kai;  Zhang, Jing;  Liu, Zhenyu;  Qiu, Qi;  Gao, Han;  Liu, Panpan;  Chen, Kuntao;  Wei, Wei;  Wang, Liang;  Zhang, Junting;  Zhou, Junlin;  Tian, Jie
收藏  |  浏览/下载：194/0  |  提交时间：2022/06/10
Sinus invasion  Meningioma  ResNet50  Peritumoral  Preoperative identification  
A Non-invasive Radiomic Method Using F-18-FDG PET Predicts Isocitrate Dehydrogenase Genotype and Prognosis in Patients With Glioma 期刊论文
FRONTIERS IN ONCOLOGY, 2019, 卷号: 9, 页码: 11
作者:  Li, Longfei;  Mu, Wei;  Wang, Yaning;  Liu, Zhenyu;  Liu, Zehua;  Wang, Yu;  Ma, Wenbin;  Kong, Ziren;  Wang, Shuo;  Zhou, Xuezhi;  Wei, Wei;  Cheng, Xin;  Lin, Yusong;  Tian, Jie
收藏  |  浏览/下载：300/0  |  提交时间：2020/03/30
F-18-FDG PET  radiomics  glioma  isocitrate dehydrogenase  non-invasive prediction  
A Computed Tomography-Based Radiomic Prognostic Marker of Advanced High-Grade Serous Ovarian Cancer Recurrence: A Multicenter Study 期刊论文
FRONTIERS IN ONCOLOGY, 2019, 卷号: 9, 页码: 12
作者:  Wei, Wei;  Liu, Zhenyu;  Rong, Yu;  Zhou, Bin;  Bei, Yan;  Wei, Wei;  Wang, Shuo;  Wang, Meiyun;  Guo, Yingkun;  Tian, Jie
收藏  |  浏览/下载：300/0  |  提交时间：2019/07/12
advanced high-grade serous ovarian cancer  CT  prognosis  radiomics  recurrence  
Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer 期刊论文
Radiotherapy and Oncology, 2018, 期号: 132, 页码: 171-177
作者:  Wang, Shuo;  Liu, Zhenyu;  Rong, Yu;  Zhou, Bin;  Bai, Yan;  Wei, Wei;  Wei, Wei;  Wang, Meiyun;  Guo, Yingkun;  Tian, Jie
浏览  |  Adobe PDF(1623Kb)  |  收藏  |  浏览/下载：435/115  |  提交时间：2019/04/30
Deep Learning  High-grade Serous Ovarian Cancer  Recurrence  Prognosis  Computed Tomography  Artificial Intelligence  Semi-supervised Learning  Auto Encoder  Unsupervised Learning  
Unsupervised Deep Learning Features for Lung Cancer Overall Survival Analysis 会议论文
, Honolulu, Hawaii, USA, 2018-7
作者:  Wang, Shuo;  Liu, Zhenyu;  Chen, Xi;  Zhu, Yongbei;  Zhou, Hongyu;  Tang, Zhenchao;  Wei, Wei;  Dong, Di;  Wang, Meiyun;  Tian, Jie
浏览  |  Adobe PDF(797Kb)  |  收藏  |  浏览/下载：404/123  |  提交时间：2019/04/30
Lung Cancer  Survival Analysis  Deep Learning  Unsupervised Feature Learning  Convolutional Neural Networks