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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
作者:  Jiaqi Li;  Zhuofeng Li;  Lei Wei;  Xuegong Zhang
Adobe PDF(7595Kb)  |  收藏  |  浏览/下载：2/1  |  提交时间：2024/04/23
Machine learning, lung cancer, radiomics, medical image, clinical application  
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 483-513
作者:  Wei-Chien Wang;  Euijoon Ahn;  Dagan Feng;  Jinman Kim
Adobe PDF(2691Kb)  |  收藏  |  浏览/下载：7/3  |  提交时间：2024/04/23
Self-supervised learning (SSL), contrastive learning, deep learning, medical image analysis, computer vision  
Meta Ordinal Regression Forest for Medical Image Classification With Ordinal Labels 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 7, 页码: 1233-1247
作者:  Yiming Lei;  Haiping Zhu;  Junping Zhang;  Hongming Shan
Adobe PDF(2123Kb)  |  收藏  |  浏览/下载：208/47  |  提交时间：2022/06/27
Convolutional neural network (CNNs)  medical image classification  meta-learning  ordinal regression  random forest  
A New Safety Assessment Method Based on Belief Rule Base With Attribute Reliability 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 11, 页码: 1774-1785
作者:  Zhichao Feng;  Wei He;  Zhijie Zhou;  Xiaojun Ban;  Changhua Hu;  Xiaoxia Han
Adobe PDF(6041Kb)  |  收藏  |  浏览/下载：103/35  |  提交时间：2021/09/03
Belief rule base (BRB)  belief rule reduction  reliability  safety assessment  structure adjustment  
Preoperative radiomics nomogramfor microvascular invasion prediction in hepatocellular carcinoma using contrast-enhanced CT 期刊论文
European Raidology, 2018, 期号: 1, 页码: 11
作者:  Ma Xiaohong;  Wei Jingwei;  Gu Dongsheng;  Zhu Yongjian;  Feng Bing;  Liang Meng;  Wang Shuang;  Zhao Xinming;  Tian Jie
浏览  |  Adobe PDF(1156Kb)  |  收藏  |  浏览/下载：317/99  |  提交时间：2019/05/08
Hepatocellular Carcinoma  Microvessel  Forecasting  Imaging  Three-dimensional Tomography  
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
作者:  Liu, Zhenyu;  Wang, Shuo;  Dong, Di;  Wei, Jingwei;  Fang, Cheng;  Zhou, Xuezhi;  Sun, Kai;  Li, Longfei;  Li, Bo;  Wang, Meiyun;  Tian, Jie
浏览  |  Adobe PDF(2057Kb)  |  收藏  |  浏览/下载：895/544  |  提交时间：2019/04/30
Radiomics  Medical Imaging  Precision Diagnosis And Treatment  Oncology  
Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer 期刊论文
Radiotherapy and Oncology, 2018, 期号: 132, 页码: 171-177
作者:  Wang, Shuo;  Liu, Zhenyu;  Rong, Yu;  Zhou, Bin;  Bai, Yan;  Wei, Wei;  Wei, Wei;  Wang, Meiyun;  Guo, Yingkun;  Tian, Jie
浏览  |  Adobe PDF(1623Kb)  |  收藏  |  浏览/下载：435/115  |  提交时间：2019/04/30
Deep Learning  High-grade Serous Ovarian Cancer  Recurrence  Prognosis  Computed Tomography  Artificial Intelligence  Semi-supervised Learning  Auto Encoder  Unsupervised Learning  
Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning 期刊论文
EUROPEAN RESPIRATORY JOURNAL, 2019, 卷号: 53, 期号: 3, 页码: 11
作者:  Wang, Shuo;  Shi, Jingyun;  Ye, Zhaoxiang;  Dong, Di;  Yu, Dongdong;  Zhou, Mu;  Liu, Ying;  Gevaert, Olivier;  Wang, Kun;  Zhu, Yongbei;  Zhou, Hongyu;  Liu, Zhenyu;  Tian, Jie
浏览  |  Adobe PDF(743Kb)  |  收藏  |  浏览/下载：518/156  |  提交时间：2019/04/30