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基于Unet编码块迁移学习的胃印戒细胞癌诊断研究 学位论文
, 北京市海淀区中国科学院自动化研究所智能化大厦910: 中国科学院大学-中国科学院自动化研究所, 2021
Authors:  李聪
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胃印戒细胞癌  迁移学习  深度学习  诊断  生存期  
基于影像组学的肝细胞癌预后因子预测方法研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2021
Authors:  顾东升
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影像组学，肝细胞癌，预后因子，无创诊断，深度学习  
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  
Prediction of Microvascular Invasion in Hepatocellular Carcinoma via Deep Learning: A Multi-Center and Prospective Validation Study 期刊论文
CANCERS, 2021, 卷号: 13, 期号: 10, 页码: 19
Authors:  Wei, Jingwei;  Jiang, Hanyu;  Zeng, Mengsu;  Wang, Meiyun;  Niu, Meng;  Gu, Dongsheng;  Chong, Huanhuan;  Zhang, Yanyan;  Fu, Fangfang;  Zhou, Mu;  Chen, Jie;  Lyv, Fudong;  Wei, Hong;  Bashir, Mustafa R.;  Song, Bin;  Li, Hongjun;  Tian, Jie
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hepatocellular carcinoma  microvascular invasion  magnetic resonance imaging  computed tomography  deep learning  
Integrating No.3 lymph nodes and primary tumor radiomics to predict lymph node metastasis in T1-2 gastric cancer 期刊论文
BMC Medical Imaging, 2021, 卷号: 21, 期号: 1, 页码: 10
Authors:  Wang,Xiaoxiao;  Li,Cong;  Fang,Mengjie;  Zhang,Liwen;  Zhong,Lianzhen;  Dong,Di;  Tian,Jie;  Shan,Xiuhong
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Stomach cancer  Lymph nodes  Nomogram  
Intratumoral and peritumoral radiomics analysis for preoperative Lauren classification in gastric cancer 期刊论文
CANCER IMAGING, 2020, 卷号: 20, 期号: 1, 页码: 10
Authors:  Wang, Xiao-Xiao;  Ding, Yi;  Wang, Si-Wen;  Dong, Di;  Li, Hai-Lin;  Chen, Jian;  Hu, Hui;  Lu, Chao;  Tian, Jie;  Shan, Xiu-Hong
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Lauren classification  Radiomics  Peritumoral analysis  Gastric cancer  Computed tomography  
A deep-learning-based prognostic nomogram integrating microscopic digital pathology and macroscopic magnetic resonance images in nasopharyngeal carcinoma: a multi-cohort study 期刊论文
THERAPEUTIC ADVANCES IN MEDICAL ONCOLOGY, 2020, 卷号: 12, 页码: 12
Authors:  Zhang, Fan;  Zhong, Lian-Zhen;  Zhao, Xun;  Dong, Di;  Yao, Ji-Jin;  Wang, Si-Yang;  Liu, Ye;  Zhu, Ding;  Wang, Yin;  Wang, Guo-Jie;  Wang, Yi-Ming;  Li, Dan;  Wei, Jiang;  Tian, Jie;  Shan, Hong
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digital pathology  multi-scale features  nasopharyngeal carcinoma  radiomics  survival analysis  
A Deep Learning Prognosis Model Help Alert for COVID-19 Patients at High-Risk of Death: A Multi-Center Study 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3576-3584
Authors:  Meng, Lingwei;  Dong, Di;  Li, Liang;  Niu, Meng;  Bai, Yan;  Wang, Meiyun;  Qiu, Xiaoming;  Zha, Yunfei;  Tian, Jie
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COVID-19  Computed tomography  Lung  Hospitals  Biomedical imaging  Training  Coronavirus disease 2019 (COVID-19)  prognosis  computed tomography  deep learning  artificial intelligence  
Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3585-3594
Authors:  Li, Cong;  Dong, Di;  Li, Liang;  Gong, Wei;  Li, Xiaohu;  Bai, Yan;  Wang, Meiyun;  Hu, Zhenhua;  Zha, Yunfei;  Tian, Jie
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COVID-19  radiomics  deep learning  computed tomography (CT)  
Multiparametric MRI-based radiomics analysis for the prediction of breast tumor regression patterns after neoadjuvant chemotherapy 期刊论文
TRANSLATIONAL ONCOLOGY, 2020, 卷号: 13, 期号: 11, 页码: 8
Authors:  Zhuang, Xiaosheng;  Chen, Chi;  Liu, Zhenyu;  Zhang, Liulu;  Zhou, Xuezhi;  Cheng, Minyi;  Ji, Fei;  Zhu, Teng;  Lei, Chuqian;  Zhang, Junsheng;  Jiang, Jingying;  Tian, Jie;  Wang, Kun
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