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基于磁共振成像的个体化脑图谱绘制及方法研究} 学位论文
, 中国科学院自动化所: 中国科学院自动化所, 2019
Authors:  张瀚天
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磁共振成像,个体化脑图谱,有监督学习,纤维跟踪,扩散张量成像  
基于深度学习的微观脑连接图谱重建方法研究 学位论文
, 北京: 中国科学院大学, 2019
Authors:  肖驰
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微观脑连接图谱  电子显微图像  卷积神经网络  深度学习  图像分割  
无肿瘤区域引导的生物自发荧光断层成像重建算法研究 学位论文
, 北京: 中国科学院大学, 2019
Authors:  高源
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光学分子影像  生物自发荧光断层成像  高斯权重拉普拉斯正则先验  双边权重拉普拉斯正则先验  多层感知机重建模型  
基于光学多模分子影像技术的抗肝肿瘤药物疗效评估 学位论文
工程硕士, 中国科学院自动化研究所: 中国科学院大学, 2019
Authors:  梁倩
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光学多模分子影像,自发荧光断层重建,药效评估,阿帕替尼,索拉菲尼,肝癌  
Fast and Robust Reconstruction Method for Fluorescence Molecular Tomography based on Deep Neural Network 会议论文
, The Moscone Center, San Francisco, California, USA, 2019-02-02
Authors:  Huang C(黄超)
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Fluorescence Molecular Tomography, Ill-poseness, Deep Convolution Neural Network, Reconstruction.  
Bioluminescence Tomography Based on Bilateral Weight Laplace method for In vivo Morphological Imaging of Glioma 会议论文
, San Francisco, USA, 2019.02.01
Authors:  Gao, Yuan;  Wang, Kun;  Meng, Hui;  An, Yu;  Jiang, Shixin;  Tian, Jie
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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:17/5  |  Submit date:2019/05/08
hepatocellular carcinoma  macrovascular invasion  prognosis  computed tomography  radiomics  prediction  
Radiomics Analysis on T2-MR Image to Predict Lymphovascular Space Invasion in Cervical Cancer 会议论文
, San Diego, USA, 2019-2
Authors:  Wang, Shuo;  Chen, Xi;  Liu, Zhenyu;  Wu, Qingxia;  Zhu, Yongbei;  Wang, Meiyun;  Tian, Jie
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Automated pulmonary nodule detection in CT images using deep convolutional neural networks 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 85, 页码: 109-119
Authors:  Xie, Hongtao;  Yang, Dongbao;  Sun, Nannan;  Chen, Zhineng;  Zhang, Yongdong
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Nodule detection  Convolutional neural network  False positive reduction  Computer-aided diagnosis  
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:18/1  |  Submit date:2019/04/30
Radiomics  Medical Imaging  Precision Diagnosis And Treatment  Oncology