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基于深度学习策略的超声多模态影像组学方法研究 学位论文
, 中国科学院大学自动化研究所: 中国科学院大学, 2020
Authors:  周辉
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超声成像  深度学习  影像组学  无创诊断  人工智能  
基于光源邻域信息的激发荧光断层重建算法研究 学位论文
, 中国科学院大学: 中国科学院大学, 2020
Authors:  孟慧
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光学分子影像  激发荧光断层成像  非局部全变分正则先验  自适应高 斯权重拉普拉斯正则先验  k 近邻局部连接网络  
基于定量磁共振影像组学的脑肿瘤无创诊断研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2020
Authors:  张帅通
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磁共振影像(MRI)  影像组学  无创诊断  半监督学习  脑肿瘤  
Accurate prediction of responses to transarterial chemoembolization for patients with hepatocellular carcinoma by using artificial intelligence in contrast-enhanced ultrasound 期刊论文
EUROPEAN RADIOLOGY, 2020, 卷号: 30, 期号: 4, 页码: 2365-2376
Authors:  Liu, Dan;  Liu, Fei;  Xie, Xiaoyan;  Su, Liya;  Liu, Ming;  Xie, Xiaohua;  Kuang, Ming;  Huang, Guangliang;  Wang, Yuqi;  Zhou, Hui;  Wang, Kun;  Lin, Manxia;  Tian, Jie
Favorite  |  View/Download:8/0  |  Submit date:2020/06/02
Therapeutic chemoembolization  Hepatocellular carcinoma  Ultrasonography  Deep learning  
ESI工程学领域热点论文(2020年03月) 其他
2020-03-20
Authors:  张桂英
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Online Transfer Learning for Differential Diagnosis of Benign and Malignant Thyroid 期刊论文
IEEE Transactions on Biomedical Engineering, 2020, 期号: 0, 页码: 0
Authors:  Zhou, Hui;  Wang, Kun;  Tian, Tian
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Diagnosis  Ultrasound Images  Online Learning  Radiomics  Transfer Learning  Thyroid Nodules  
Deep learning radiomics for non-invasive diagnosis of benign and malignant thyroid nodules using ultrasound images 会议论文
, California, 2020.2.15
Authors:  Zhou, Hui;  Wang, Kun;  Tian, Jie
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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
Authors:  Zhou, Hui;  Wang, Kun;  Tian, Jie
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Differential Diagnosis of Benign and Malignant Thyroid Nodules Using Deep Learning Radiomics of Thyroid Ultrasound Images 期刊论文
European Journal of Radiology, 2020, 期号: 127, 页码: 0
Authors:  Zhou, Hui;  Jin, Yinhua;  Dai, Lei;  Zhang, Meiwu;  Qiu, Yuqin;  Wang, Kun;  Tian, Jie;  Zheng, Jianjun
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Thyroid Nodules  Thyroid Ultrasound  Deep Learning  Ultrasound Radiomics  Diagnosis  
Multiparametric MRI-Based Radiomics for Prostate Cancer Screening With PSA in 4-10 ng/mL to Reduce Unnecessary Biopsies 期刊论文
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2019, 期号: 0, 页码: 10
Authors:  Qi, Yafei;  Zhang, Shuaitong;  Wei, Jingwei;  Zhang, Gumuyang;  Lei, Jing;  Yan, Weigang;  Xiao, Yu;  Yan, Shuang;  Xue, Huadan;  Feng, Feng;  Sun, Hao;  Tian, Jie;  Jin, Zhengyu
View  |  Adobe PDF(990Kb)  |  Favorite  |  View/Download:19/0  |  Submit date:2020/03/30
magnetic resonance imaging  radiomics  prostate cancer  prostate-specific antigen  biopsy