中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共7条，第1-7条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
The accurate non-invasive staging of liver fibrosis using deep learning radiomics based on transfer learning of shear wave elastography 会议论文
, California, 2020.2.15
作者:  Zhou, Hui;  Wang, Kun;  Tian, Jie
浏览  |  Adobe PDF(713Kb)  |  收藏  |  浏览/下载：223/50  |  提交时间：2020/05/28
Characterizing White Matter Connectivity in Alzheimer's Disease and Mild Cognitive Impairment: Automated Fiber Quantification 会议论文
, The Hilton Molino Stucky in Venice, April 8 - 11, 2019
作者:  Dou, Xuejiao;  Yao, Hongxiang;  Jin, Dan;  Feng, Feng;  Wang, Pan;  Zhou, Bo;  Liu, Bing;  Yang, Zhengyi;  An, Ningyu;  Zhang, Xi;  Liu, Yong
浏览  |  Adobe PDF(409Kb)  |  收藏  |  浏览/下载：263/68  |  提交时间：2019/04/23
Radiomics analysis potentially reduces over-diagnosis of prostate cancer with PSA levels of 4-10 ng/ml based on DWI data 会议论文
, San Diego, California, United States, 2019-3-13
作者:  Zhang, Shuaitong;  Qi, Yafei;  Wei, Jingwei;  Niu, Jianxing;  Gu, Dongsheng;  Han, Yuqi;  Hao, Xiaohan;  Zang, Yali;  Tian, Jie
浏览  |  Adobe PDF(796Kb)  |  收藏  |  浏览/下载：230/93  |  提交时间：2020/06/11
Prostate specific antigen  Prostate cancer  Over-diagnosis  Radiomics  Random forest  
Radiomics Analysis on T2-MR Image to Predict Lymphovascular Space Invasion in Cervical Cancer 会议论文
, San Diego, USA, 2019-2
作者:  Wang, Shuo;  Chen, Xi;  Liu, Zhenyu;  Wu, Qingxia;  Zhu, Yongbei;  Wang, Meiyun;  Tian, Jie
浏览  |  Adobe PDF(540Kb)  |  收藏  |  浏览/下载：373/91  |  提交时间：2019/04/30
Development and validation of a radiomics-based method for macrovascular invasion prediction in hepatocellular carcinoma with prognostic implication 会议论文
, 美国圣地亚哥, 2019年2月20日
作者:  Wei Jingwei;  Fu Sirui;  Zhang Shuaitong;  Zhang Jie;  Gu Dongsheng;  Li Xiaoqun;  Chen Xudong;  He Xiaofeng;  Yan Jianfeng;  Lu Ligong;  Tian Jie
浏览  |  Adobe PDF(303Kb)  |  收藏  |  浏览/下载：282/81  |  提交时间：2019/05/08
hepatocellular carcinoma  macrovascular invasion  prognosis  computed tomography  radiomics  prediction  
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：376/121  |  提交时间：2019/04/30
Lung Cancer  Survival Analysis  Deep Learning  Unsupervised Feature Learning  Convolutional Neural Networks  
3D Brain Tumor Segmentation Through Integrating Multiple 2D FCNNs 会议论文
, Quebec City, QC, Canada, 2017-09
作者:  Zhao, Xiaomei;  Wu, Yihong;  Song, Guidong;  Li, Zhenye;  Zhang, Yazhuo;  Fan, Yong
浏览  |  Adobe PDF(1411Kb)  |  收藏  |  浏览/下载：238/61  |  提交时间：2020/05/07
Brain Tumor Segmentation  Fully Convolutional Neural Networks  3d Conditional Random Fields  Multi-views