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Machine Learning in Lung Cancer Radiomics 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 753-782
Authors:  Jiaqi Li
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Machine learning, lung cancer, radiomics, medical image, clinical application  
基于MRI影像的晚期鼻咽癌预后预测和诱导化疗决策的方法研究 学位论文
, 2023
Authors:  钟连珍
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影像组学  预后预测  治疗疗效预测  晚期鼻咽癌  磁共振成像  
基于CT影像表征学习的胃癌预后预测算法研究 学位论文
工学博士, 中国科学院自动化研究所: 中国科学院自动化研究所, 2022
Authors:  王思雯
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影像组学  表征学习  胃癌  预后预测  计算机断层扫描(CT)  
基于CT影像组学的胃癌TNM分期预测算法研究 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:  方梦捷
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影像组学  深度学习  胃癌  TNM 分期  计算机断层扫描  
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  
Deep learning for predicting immunotherapeutic efficacy in advanced non-small cell lung cancer patients: a retrospective study combining progression-free survival risk and overall survival risk 期刊论文
TRANSLATIONAL LUNG CANCER RESEARCH, 2022, 页码: 23
Authors:  He, Bing-Xi;  Zhong, Yi-Fan;  Zhu, Yong-Bei;  Deng, Jia-Jun;  Fang, Meng-Jie;  She, Yun-Lang;  Wang, Ting-Ting;  Yang, Yang;  Sun, Xi-Wen;  Belluomini, Lorenzo;  Watanabe, Satoshi;  Dong, Di;  Tian, Jie;  Xie, Dong
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Tumor biomarkers  immunotherapy  lung neoplasms  programmed cell death 1 receptor (PD-1 receptor)  biostatistics  
CT-based radiomics to predict development of macrovascular invasion in hepatocellular carcinoma: A multicenter study 期刊论文
Hepatobiliary & Pancreatic Diseases International, 2021, 卷号: 2021, 期号: --, 页码: --
Authors:  Jingwei Wei;  Sirui Fu;  Jie Zhang;  Dongsheng Gu;  Xiaoqun Li;  Xudong Chen;  Shuaitong Zhang;  Xiaofei He;  Jianfeng Yan;  Ligong Lu;  Jie Tian
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Computed tomography  Hepatocellular carcinoma  Macrovascular invasion  Prognosis  Radiomics  
Application of Artificial Intelligence in Diagnosis of Craniopharyngioma 期刊论文
FRONTIERS IN NEUROLOGY, 2022, 卷号: 12, 页码: 16
Authors:  Qin, Caijie;  Hu, Wenxing;  Wang, Xinsheng;  Ma, Xibo
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craniopharyngioma  tumor  diagnosis  machine learning  deep learning  
基于病理图像的细胞生物标志物表达预测算法研究 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, 2021
Authors:  边畅
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深度学习,半监督学习,细胞生物标志物,苏木精-伊红染色,多光谱免疫荧光染色,数字病理技术  
ImmunoAIzer: A Deep Learning-Based Computational Framework to Characterize Cell Distribution and Gene Mutation in Tumor Microenvironment 期刊论文
CANCERS, 2021, 卷号: 13, 期号: 7, 页码: 21
Authors:  Bian, Chang;  Wang, Yu;  Lu, Zhihao;  An, Yu;  Wang, Hanfan;  Kong, Lingxin;  Du, Yang;  Tian, Jie
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deep learning  cell distribution  biomarker  tumor gene mutation  tumor microenvironment (TME)  semi-supervised learning  hematoxylin and eosin (H&  E)