An MRI-based radiomics model to predict clear cell renal cell carcinoma growth rate classes in patients with von Hippel-Lindau syndrome

被引:0
作者
Pouria Yazdian Anari
Nathan Lay
Nikhil Gopal
Aditi Chaurasia
Safa Samimi
Stephanie Harmon
Fatemeh Dehghani Firouzabadi
Maria J. Merino
Paul Wakim
Evrim Turkbey
Elizabeth C. Jones
Mark W. Ball
Baris Turkbey
W. Marston Linehan
Ashkan A. Malayeri
机构
[1] National Institutes of Health,Radiology and Imaging Sciences, Clinical Center (CC)
[2] National Institutes of Health,Artificial Intelligence Resource, Clinical Center
[3] National Cancer Institute (NCI),Urologic Oncology Branch, Clinical Center
[4] National Institutes of Health,Pathology Department, Clinical Center
[5] National Cancer Institutes (NCI),Biostatistics and Clinical Epidemiology Service, Clinical Center
[6] National Institutes of Health,Urologic Oncology Branch, Clinical Center
[7] National Institutes of Health,Radiology and Imaging Sciences, Clinical Center (CC)
[8] National Cancer Institute (NCI),undefined
[9] National Institutes of Health,undefined
[10] National Institutes of Health,undefined
来源
Abdominal Radiology | 2022年 / 47卷
关键词
Clear cell renal cell carcinoma; Radiomics; von Hippel-Lindau syndrome;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:3554 / 3562
页数:8
相关论文
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