Clear Cell Renal Cell Carcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis for Prediction of Fuhrman Nuclear Grade.
第一作者:
Ceyda Turan,Bektas
第一单位:
Department of Radiology, Istanbul Training and Research Hospital, Istanbul, Turkey.
作者:
主题词
成年人(Adult);老年人(Aged);算法(Algorithms);贝叶斯定理(Bayes Theorem);活组织检查(Biopsy);癌, 肾细胞(Carcinoma, Renal Cell);数据收集(Data Collection);诊断, 鉴别(Diagnosis, Differential);女(雌)性(Female);人类(Humans);肾肿瘤(Kidney Neoplasms);男(雄)性(Male);中年人(Middle Aged);肾切除术(Nephrectomy);结果可重复性(Reproducibility of Results);回顾性研究(Retrospective Studies);体层摄影术, X线计算机(Tomography, X-Ray Computed)
DOI
10.1007/s00330-018-5698-2
PMID
30167812
发布时间
2020-03-30
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European radiology
1153-1163页
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