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：
Non-invasive radiomics approach potentially predicts non-functioning pituitary adenomas subtypes before surgery 期刊论文
EUROPEAN RADIOLOGY, EUROPEAN RADIOLOGY, 2018, 2018, 卷号: 28, 28, 期号: 9, 页码: 3692-3701, 3692-3701
作者:  Zhang, Shuaitong;  Song, Guidong;  Zang, Yali;  Jia, Jian;  Wang, Chao;  Li, Chuzhong;  Tian, Jie;  Dong, Di;  Zhang, Yazhuo
浏览  |  Adobe PDF(1222Kb)  |  收藏  |  浏览/下载：343/68  |  提交时间：2018/10/10
Non-functioning Pituitary Adenomas  Null Cell Adenomas  Radiomics  Support Vector Machine  Nomograms  Non-functioning Pituitary Adenomas  Null Cell Adenomas  Radiomics  Support Vector Machine  Nomograms  
Non-convex sparse regularization approach framework for high multiple-source resolution in Cerenkov luminescence tomography 期刊论文
OPTICS EXPRESS, 2017, 卷号: 25, 期号: 23, 页码: 28068-28085
作者:  Guo, Hongbo;  Hu, Zhenhua;  He, Xiaowei;  Zhang, Xiaojun;  Liu, Muhan;  Zhang, Zeyu;  Shi, Xiaojing;  Zheng, Sheng;  Tian, Jie
浏览  |  Adobe PDF(16278Kb)  |  收藏  |  浏览/下载：390/80  |  提交时间：2018/01/02
Multiple-source Resolution  
Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation 期刊论文
MEDICAL IMAGE ANALYSIS, 2017, 卷号: 40, 期号: 40, 页码: 172-183
作者:  Wang, Shuo;  Zhou, Mu;  Liu, Zaiyi;  Liu, Zhenyu;  Gu, Dongsheng;  Zang, Yali;  Dong, Di;  Gevaert, Olivier;  Tian, Jie
浏览  |  Adobe PDF(3023Kb)  |  收藏  |  浏览/下载：545/222  |  提交时间：2018/01/08
Lung Nodule Segmentation  Convolutional Neural Networks  Deep Learning  Computer-aided Diagnosis  
Theranostic imaging of liver cancer using targeted optical/MRI dual-modal probes 期刊论文
ONCOTARGET, 2017, 卷号: 8, 期号: 20, 页码: 32741-32751
作者:  Chen, Qingshan;  Shang, Wenting;  Zeng, Chaoting;  Wang, Kun;  Liang, Xiaoyuan;  Chi, Chongwei;  Liang, Xiao;  Yang, Jian;  Fang, Chihua;  Tian, Jie
浏览  |  Adobe PDF(1805Kb)  |  收藏  |  浏览/下载：438/106  |  提交时间：2017/07/18
Liver Cancer  Mri/optical  Preoperative Diagnosis  Intraoperative Navigation  Dual-modality  
Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification 期刊论文
PATTERN RECOGNITION, 2017, 卷号: 61, 期号: 61, 页码: 663-673
作者:  Shen, Wei;  Zhou, Mu;  Yang, Feng;  Yu, Dongdong;  Dong, Di;  Yang, Caiyun;  Zang, Yali;  Tian, Jie;  Feng Yang, Jie Tian
浏览  |  Adobe PDF(1358Kb)  |  收藏  |  浏览/下载：1274/595  |  提交时间：2016/10/21
Lung Nodule  Malignancy Suspiciousness  Convolutional Neural Network  Multi-crop Pooling  
Non-small cell lung cancer: quantitative phenotypic analysis of CT images as a potential marker of prognosis 期刊论文
Scientific Reports, 2016, 卷号: 6, 期号: 38282, 页码: 1-9
作者:  Song, Jiangdian;  Liu, Zaiyi;  Zhong, Wenzhao;  Huang, Yanqi;  Ma, Zelan;  Dong, Di;  Liang, Changhong;  Tian, Jie
浏览  |  Adobe PDF(585Kb)  |  收藏  |  浏览/下载：371/94  |  提交时间：2017/02/14
Radiomics  
Lung Lesion Extraction Using a Toboggan Based Growing Automatic Segmentation Approach 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2016, 卷号: 35, 期号: 1, 页码: 337-353
作者:  Song, Jiangdian;  Yang, Caiyun;  Fan, Li;  Wang, Kun;  Yang, Feng;  Liu, Shiyuan;  Tian, Jie;  Caiyun YANG, Shiyuan Liu, Jie Tian
浏览  |  Adobe PDF(6639Kb)  |  收藏  |  浏览/下载：442/169  |  提交时间：2016/03/19
Back-off Mechanism  Computed Tomography (Ct)  Lung Lesion Segmentation  Region Growing  Toboggan