CASIA OpenIR

Browse/Search Results:  1-10 of 68 Help

Selected(0)Clear Items/Page:    Sort:
多序列 MRI影像组学辅助肿瘤无创诊断的研究 学位论文
, 北京市海淀区中关村东路95号: 中国科学院自动化研究所, 2019
Authors:  魏靖伟
Adobe PDF(3432Kb)  |  Favorite  |  View/Download:28/2  |  Submit date:2019/06/28
影像组学  人工智能  肿瘤  无创诊断  磁共振成像  
基于深度学习的小样本肿瘤CT影像分析算法研究 学位论文
工学博士, 中国科学院自动化研究所: 中国科学院大学, 2019
Authors:  王硕
Adobe PDF(6465Kb)  |  Favorite  |  View/Download:33/0  |  Submit date:2019/07/08
计算机断层扫描(ct)  深度学习  肿瘤分割  半监督学习  预后分析  
近红外荧光成像术中导航技术研究与多类临床应用探索 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2019
Authors:  何坤山
Adobe PDF(5601Kb)  |  Favorite  |  View/Download:68/1  |  Submit date:2019/07/15
近红外荧光成像  术中导航  临床应用  前哨淋巴结  胸交感神经  
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
Authors:  Wei Jingwei;  Fu Sirui;  Zhang Shuaitong;  Zhang Jie;  Gu Dongsheng;  Li Xiaoqun;  Chen Xudong;  He Xiaofeng;  Yan Jianfeng;  Lu Ligong;  Tian Jie
View  |  Adobe PDF(303Kb)  |  Favorite  |  View/Download:36/11  |  Submit date:2019/05/08
hepatocellular carcinoma  macrovascular invasion  prognosis  computed tomography  radiomics  prediction  
Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning 期刊论文
European Respiratory Journal, 2019, 期号: 53, 页码: 1800986
Authors:  Wang, Shuo;  Shi, Jingyun;  Ye, Zhaoxiang;  Dong, Di;  Yu, Dongdong;  Zhou, Mu;  Liu, Ying;  Gevaert, Olivier;  Wang, Kun;  Zhu, Yongbei;  Zhou, Hongyu;  Liu, Zhenyu;  Tian, Jie
View  |  Adobe PDF(743Kb)  |  Favorite  |  View/Download:35/6  |  Submit date:2019/04/30
Lung Adenocarcinoma  Epidermal Growth Factor Receptor Mutation  Lung Cancer  Deep Learning  Artificial Intelligence  Health Informatics  
The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges 期刊论文
Theranostics, 2019, 卷号: 9, 期号: 5, 页码: 1303-1322
Authors:  Liu, Zhenyu;  Wang, Shuo;  Dong, Di;  Wei, Jingwei;  Fang, Cheng;  Zhou, Xuezhi;  Sun, Kai;  Li, Longfei;  Li, Bo;  Wang, Meiyun;  Tian, Jie
View  |  Adobe PDF(2057Kb)  |  Favorite  |  View/Download:34/4  |  Submit date:2019/04/30
Radiomics  Medical Imaging  Precision Diagnosis And Treatment  Oncology  
The fluorescence molecular imaging and tomography of matrix metalloproteinase-activatable near infrared fluorescence probe and image-guided orthotopic glioma resection 期刊论文
Molecular Imaging and Biology, 2018, 卷号: 20, 期号: 6, 页码: 930-939
Authors:  Li Li;  Du Yang;  Chen xinjian;  Tian Jie
View  |  Adobe PDF(6862Kb)  |  Favorite  |  View/Download:40/13  |  Submit date:2019/02/18
Matrix Metalloproteinase, Image-guided Surgery, Glioma, Fluorescence Molecular Tomography  
Preoperative radiomics nomogramfor microvascular invasion prediction in hepatocellular carcinoma using contrast-enhanced CT 期刊论文
European Raidology, 2018, 期号: 1, 页码: 11
Authors:  Ma Xiaohong;  Wei Jingwei;  Gu Dongsheng;  Zhu Yongjian;  Feng Bing;  Liang Meng;  Wang Shuang;  Zhao Xinming;  Tian Jie
View  |  Adobe PDF(1156Kb)  |  Favorite  |  View/Download:31/13  |  Submit date:2019/05/08
Hepatocellular Carcinoma  Microvessel  Forecasting  Imaging  Three-dimensional Tomography  
Advances in Molecular Imaging of Immunotherapeutic Targets in Breast Cancer: Current and Future Prospect 期刊论文
European Radiology, 2018, 期号: NA, 页码: NA
Authors:  Du Yang;  Jin Yinhua;  Sun Wei;  Fan Junjie;  Zheng Jianjun;  Tian Jie
View  |  Adobe PDF(6002Kb)  |  Favorite  |  View/Download:54/19  |  Submit date:2019/02/18
Cancer, Immunotherapy, Molecular Imaging, Immune Checkpoint Target  
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
Authors:  Wang, Shuo;  Liu, Zhenyu;  Rong, Yu;  Zhou, Bin;  Bai, Yan;  Wei, Wei;  Wei, Wei;  Wang, Meiyun;  Guo, Yingkun;  Tian, Jie
View  |  Adobe PDF(1623Kb)  |  Favorite  |  View/Download:34/7  |  Submit date:2019/04/30
Deep Learning  High-grade Serous Ovarian Cancer  Recurrence  Prognosis  Computed Tomography  Artificial Intelligence  Semi-supervised Learning  Auto Encoder  Unsupervised Learning