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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
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  
Unsupervised Deep Learning Features for Lung Cancer Overall Survival Analysis 会议论文
, Honolulu, Hawaii, USA, 2018-7
作者:  Wang, Shuo;  Liu, Zhenyu;  Chen, Xi;  Zhu, Yongbei;  Zhou, Hongyu;  Tang, Zhenchao;  Wei, Wei;  Dong, Di;  Wang, Meiyun;  Tian, Jie
浏览  |  Adobe PDF(797Kb)  |  收藏  |  浏览/下载：403/123  |  提交时间：2019/04/30
Lung Cancer  Survival Analysis  Deep Learning  Unsupervised Feature Learning  Convolutional Neural Networks  
Can CT-based radiomics signature predict KRAS/NRAS/BRAF mutations in colorectal cancer? 期刊论文
EUROPEAN RADIOLOGY, 2018, 卷号: 28, 期号: 5, 页码: 2058-2067
作者:  Yang, Lei;  Dong, Di;  Fang, Mengjie;  Zhu, Yongbei;  Zang, Yali;  Liu, Zhenyu;  Zhang, Hongmei;  Ying, Jianming;  Zhao, Xinming;  Tian, Jie
Adobe PDF(1265Kb)  |  收藏  |  浏览/下载：284/23  |  提交时间：2018/10/10
Colorectal Neoplasms  Adenocarcinoma  Mutation  Diagnostic Imaging  Roc Curve  
Novel radiomic signature as a prognostic biomarker for locally advanced rectal cancer 期刊论文
Journal of Magnetic Resonance Imaging, 2018, 卷号: 48, 期号: 3, 页码: 605-614
作者:  Meng, Yankai;  Zhang, Yuchen;  Dong, Di;  Li, Chunming;  Liang, Xiao;  Zhang, Chongda;  Wan, Lijuan;  Zhao, Xinming;  Xu,Kai;  Zhou,Chunwu;  Tian, Jie;  Zhang, Hongmei
浏览  |  Adobe PDF(1047Kb)  |  收藏  |  浏览/下载：158/65  |  提交时间：2020/10/25
advanced rectal cancer