支持向量机
接收机工作特性
逻辑回归
医学
随机森林
人工智能
试验装置
机器学习
计算机科学
放射科
作者
Huanhuan Kang,Wanfang Xie,He Wang,Huiping Guo,Jiahui Jiang,Zhe Liu,Xiaohui Ding,Lin Li,Wei Xu,Jian Zhao,Xu Bai,Mengqiu Cui,Huiyi Ye,Baojun Wang,Dawei Yang,Xin Ma,Jiangang Liu,Haiyi Wang
标识
DOI:10.1016/j.acra.2024.01.003
摘要
Accurate differentiation between benign and malignant cystic renal masses (CRMs) is challenging in clinical practice. This study aimed to develop MRI-based machine learning models for differentiating between benign and malignant CRMs and compare the best-performing model with the Bosniak classification, version 2019 (BC, version 2019).
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