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基于深度神经网络结构搜索的术中脑胶质瘤诊断方法研究 学位论文
工程硕士, 中国科学院自动化研究所: 中国科学院自动化研究所, 2022
Authors:  沈碧螺
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脑胶质瘤  深度学习  近红外二区荧光成像  术中病理  网络架构搜索  
新型荧光分子成像用于胶质瘤手术导航的研究 学位论文
, 中国科学院自动化研究所: 中国科学院自动化研究所, 2022
Authors:  史小静
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激发荧光分子成像  断层成像  手术导航  契伦科夫光学成像  近红外二区荧光成像  
基于图网络的脑胶质瘤激发荧光断层重建算法研究 学位论文
, 中国科学院自动化所: 中国科学院自动化所, 2022
Authors:  王宇
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图网络  激发荧光断层重建  
Glioma Segmentation-Oriented Multi-Modal MR Image Fusion With Adversarial Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 8, 页码: 1528-1531
Authors:  Yu Liu;  Yu Shi;  Fuhao Mu;  Juan Cheng;  Xun Chen
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Near-Infrared Window II Fluorescence Image-Guided Surgery of High-Grade Gliomas Prolongs the Progression-Free Survival of Patients 期刊论文
IEEE Transactions on Biomedical Engineering, 2022, 卷号: 69, 期号: 6, 页码: 1889-1900
Authors:  Xiaojing Shi;  Zhe Zhang;  Zeyu Zhang;  Caiguang Cao;  Zhen Cheng;  Zhenhua Hu;  Jie Tian;  Nan Ji
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fluorescence image-guided surgery  glioblastoma  ICG  NIR-II  
Quantitative MRI-based radiomics for noninvasively predicting molecular subtypes and survival in glioma patients 期刊论文
NPJ PRECISION ONCOLOGY, 2021, 卷号: 5, 期号: 1, 页码: 9
Authors:  Yan, Jing;  Zhang, Bin;  Zhang, Shuaitong;  Cheng, Jingliang;  Liu, Xianzhi;  Wang, Weiwei;  Dong, Yuhao;  Zhang, Lu;  Mo, Xiaokai;  Chen, Qiuying;  Fang, Jin;  Wang, Fei;  Tian, Jie;  Zhang, Shuixing;  Zhang, Zhenyu
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基于2D-3D多维CT影像组学特征的胃癌分期预测方法研究 学位论文
工学硕士, 中国科学院自动化研究所: 中国科学院自动化研究所, 2021
Authors:  孟令威
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影像组学  模式识别  计算机辅助诊断  人工智能  计算机断层扫描成像  胃癌  
Real-time intraoperative glioma diagnosis using fluorescence imaging and deep convolutional neural networks 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2021, 卷号: 48, 期号: 11, 页码: 3482-3492
Authors:  Shen, Biluo;  Zhang, Zhe;  Shi, Xiaojing;  Cao, Caiguang;  Zhang, Zeyu;  Hu, Zhenhua;  Ji, Nan;  Tian, Jie
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Fluorescence imaging  Deep learning  Convolutional neural networks  Intraoperative pathology  Gliomas  
A review of the application of machine learning in molecular imaging 期刊论文
Annals of Translational Medicine, 2021, 卷号: 0, 期号: 0, 页码: 0
Authors:  Yin, Lin;  Cao, Zhen;  Wang, Kun;  Tian, Jie;  Yang, Xing;  Zhang, Jianhua
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molecular imaging, machine learning, artificial intelligence  
Deep learning algorithm to improve hypertrophic cardiomyopathy mutation prediction using cardiac cine images 期刊论文
EUROPEAN RADIOLOGY, 2020, 页码: 10
Authors:  Zhou, Hongyu;  Li, Lu;  Liu, Zhenyu;  Zhao, Kankan;  Chen, Xiuyu;  Lu, Minjie;  Yin, Gang;  Song, Lei;  Zhao, Shihua;  Zheng, Hairong;  Tian, Jie
Favorite  |  View/Download:66/0  |  Submit date:2021/01/06
Cardiomyopathy  hypertrophic  Genotype  Deep learning  Magnetic resonance imaging