Clear Cell Renal Cell Carcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis for Prediction of Fuhrman Nuclear Grade

被引：0
|
作者：
Ceyda Turan Bektas
Burak Kocak
Aytul Hande Yardimci
Mehmet Hamza Turkcanoglu
Ugur Yucetas
Sevim Baykal Koca
Cagri Erdim
Ozgur Kilickesmez
机构：
[1] Istanbul Training and Research Hospital,Department of Radiology
[2] Batman Women and Children’s Health Training and Research Hospital,Department of Radiology
[3] Istanbul Training and Research Hospital,Department of Urology
[4] Istanbul Training and Research Hospital,Department of Pathology
来源：
European Radiology | 2019年 / 29卷
关键词：
Clear cell renal cell carcinoma; Artificial intelligence; Multidetector computed tomography; Machine learning; Fuhrman nuclear grade;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1153 / 1163
页数：10
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