Proof-of-concept use of machine learning to predict tumor recurrence of early-stage hepatocellular carcinoma before therapy using baseline magnetic resonance imaging

被引：0
|
作者：
Kuecuekkaya, Ahmet Said [1 ,2 ,3 ,4 ,5 ]
Zeevi, Tal [1 ]
Raju, Rajiv [1 ]
Chai, Nathan [1 ]
Haider, Stefan [1 ]
Elbanan, Mohamed [6 ]
Petukhova, Alexandra [1 ,2 ,3 ,4 ,5 ]
Lin, Mingde [1 ,7 ]
Onofrey, John [1 ]
Nowak, Michal [1 ]
Cooper, Kirsten [1 ]
Thomas, Elizabeth [1 ]
Gebauer, Bernhard [2 ,3 ,4 ,5 ]
Madoff, David [1 ]
Staib, Lawrence [1 ]
Batra, Ramesh [8 ]
Chapiro, Julius [1 ]
机构：
[1] Yale Univ, Sch Med, Dept Radiol & Biomed Imaging, New Haven, CT USA
[2] Charite Univ Med Berlin, Berlin, Germany
[3] Free Univ Berlin, Berlin, Germany
[4] Humboldt Univ, Berlin, Germany
[5] Berlin Inst Hlth, Inst Radiol, Berlin, Germany
[6] Yale New Haven Hlth Syst, Bridgeport Hosp, Dept Diagnost Radiol, Bridgeport, CT USA
[7] Visage Imaging Inc, San Diego, CA USA
[8] Yale Univ, Sch Med, Dept Surg Transplantat & Immunol, New Haven, CT USA
来源：
JOURNAL OF HEPATOLOGY | 2020年 / 73卷
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D O I：
暂无
中图分类号：
R57 [消化系及腹部疾病];
学科分类号：
摘要：
LBP14
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收藏
页码：S130 / S131
页数：2
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