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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
Authors:  Wei, Jingwei;  Jiang, Hanyu;  Gu, Dongsheng;  Niu, Meng;  Fu, Fangfang;  Han, Yuqi;  Song, Bin;  Tian, Jie
Adobe PDF(872Kb)  |  Favorite  |  View/Download:51/0  |  Submit date:2020/08/03
data science  liver diseases  machine learning  precision medicine  radiologic technology  
乳腺癌近红外激发荧光成像方法研究和临床应用探索 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2020
Authors:  张崇
Adobe PDF(5418Kb)  |  Favorite  |  View/Download:116/1  |  Submit date:2020/06/03
近红外激发荧光成像  手术导航  图像处理  乳腺癌  
CT radiomics may predict the grade of pancreatic neuroendocrine tumors: a multicenter study 期刊论文
EUROPEAN RADIOLOGY, 2019, 卷号: 29, 期号: 12, 页码: 6880-6890
Authors:  Gu, Dongsheng;  Hu, Yabin;  Ding, Hui;  Wei, Jingwei;  Chen, Ke;  Liu, Hao;  Zeng, Mengsu;  Tian, Jie
Adobe PDF(1291Kb)  |  Favorite  |  View/Download:48/0  |  Submit date:2020/03/30
Neoplasm grading  Pancreas  Neuroendocrine tumor  Radiomics  CT  
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
Authors:  Min, Xiangde;  Li, Min;  Dong, Di;  Feng, Zhaoyan;  Zhang, Peipei;  Ke, Zan;  You, Huijuan;  Han, Fangfang;  Ma, He;  Tian, Jie;  Wang, Liang
Favorite  |  View/Download:82/0  |  Submit date:2019/07/12
Magnetic resonance imaging  Prostatic neoplasms  Neoplasm grading  Radiomics  
Radiomics based on multicontrast MRI can precisely differentiate among glioma subtypes and predict tumour-proliferative behaviour 期刊论文
EUROPEAN RADIOLOGY, 2019, 卷号: 29, 期号: 4, 页码: 1986-1996
Authors:  Su, Changliang;  Jiang, Jingjing;  Zhang, Shun;  Shi, Jingjing;  Xu, Kaibin;  Shen, Nanxi;  Zhang, Jiaxuan;  Li, Li;  Zhao, Lingyun;  Zhang, Ju;  Qin, Yuanyuan;  Liu, Yong;  Zhu, Wenzhen
Favorite  |  View/Download:77/0  |  Submit date:2019/12/16
Radiomics  Glioma  Neoplasm grading  Cell proliferation  Magnetic resonance imaging  
Preoperative prediction of cavernous sinus invasion by pituitary adenomas using a radiomics method based on magnetic resonance images 期刊论文
EUROPEAN RADIOLOGY, 2019, 卷号: 29, 期号: 3, 页码: 1625-1634
Authors:  Niu, Jianxing;  Zhang, Shuaitong;  Ma, Shunchang;  Diao, Jinfu;  Zhou, Wenjianlong;  Tian, Jie;  Zang, Yali;  Jia, Wang
View  |  Adobe PDF(1261Kb)  |  Favorite  |  View/Download:93/5  |  Submit date:2019/07/12
Pituitary adenomas  Cavernous sinus  Neoplasm invasion  Nomogram  Support vector machine