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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
作者:  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
Adobe PDF(2568Kb)  |  收藏  |  浏览/下载：404/65  |  提交时间：2021/06/15
hepatocellular carcinoma  microvascular invasion  magnetic resonance imaging  computed tomography  deep learning  
Radiomics in liver diseases: Current progress and future opportunities 期刊论文
LIVER INTERNATIONAL, 2020, 卷号: 40, 期号: 9, 页码: 2050-2063
作者:  Wei, Jingwei;  Jiang, Hanyu;  Gu, Dongsheng;  Niu, Meng;  Fu, Fangfang;  Han, Yuqi;  Song, Bin;  Tian, Jie
Adobe PDF(872Kb)  |  收藏  |  浏览/下载：509/139  |  提交时间：2020/08/03
data science  liver diseases  machine learning  precision medicine  radiologic technology  
Computed tomography-based predictive nomogram for differentiating primary progressive pulmonary tuberculosis from community-acquired pneumonia in children 期刊论文
BMC MEDICAL IMAGING, 2019, 卷号: 19, 期号: 1, 页码: 11
作者:  Wang, Bei;  Li, Min;  Ma, He;  Han, Fangfang;  Wang, Yan;  Zhao, Shunying;  Liu, Zhimin;  Yu, Tong;  Tian, Jie;  Dong, Di;  Peng, Yun
收藏  |  浏览/下载：293/0  |  提交时间：2019/12/16
Child  Tuberculosis  Pulmonary  Pneumonia  Radiomics  Nomogram  
MR-Based Radiomics Nomogram of Cervical Cancer in Prediction of the Lymph-Vascular Space Invasion preoperatively 期刊论文
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2019, 卷号: 49, 期号: 5, 页码: 1420-1426
作者:  Li, Zhicong;  Li, Hailin;  Wang, Shiyu;  Dong, Di;  Yin, Fangfang;  Chen, An;  Wang, Siwen;  Zhao, Guangming;  Fang, Mengjie;  Tian, Jie;  Wu, Sufang;  Wang, Han
浏览  |  Adobe PDF(377Kb)  |  收藏  |  浏览/下载：364/54  |  提交时间：2019/07/12
radiomics nomogram  cervical cancer  lymph-vascular space invasion  MRI  prediction model  
Multi-parametric MRI-based radiomics signature for discriminating between clinically significant and insignificant prostate cancer: Cross-validation of a machine learning method 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2019, 卷号: 115, 页码: 16-21
作者:  Min, Xiangde;  Li, Min;  Dong, Di;  Feng, Zhaoyan;  Zhang, Peipei;  Ke, Zan;  You, Huijuan;  Han, Fangfang;  Ma, He;  Tian, Jie;  Wang, Liang
收藏  |  浏览/下载：337/0  |  提交时间：2019/07/12
Magnetic resonance imaging  Prostatic neoplasms  Neoplasm grading  Radiomics