Radiomic features from multiparametric magnetic resonance imaging predict molecular subgroups of pediatric low-grade gliomas

被引：0

作者：

Zhen Liu

Xuanke Hong

Linglong Wang

Zeyu Ma

Fangzhan Guan

Weiwei Wang

Yuning Qiu

Xueping Zhang

Wenchao Duan

Minkai Wang

Chen Sun

Yuanshen Zhao

Jingxian Duan

Qiuchang Sun

Lin Liu

Lei Ding

Yuchen Ji

Dongming Yan

Xianzhi Liu

Jingliang Cheng

Zhenyu Zhang

Zhi-Cheng Li

Jing Yan

机构：

[1] The First Affiliated Hospital of Zhengzhou University,Department of Neurosurgery

[2] Yanjing Medical College of Capital Medical University,Department of Pathology

[3] The First Affiliated Hospital of Zhengzhou University,Department of MRI

[4] The First Affiliated Hospital of Zhengzhou University,Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology

[5] Chinese Academy of Sciences,undefined

[6] University of Chinese Academy of Sciences,undefined

[7] China-Japan Union Hospital of Jilin University,undefined

[8] Shenzhen United Imaging Research Institute of Innovative Medical Equipment,undefined

来源：

BMC Cancer | / 23卷

关键词：

Pediatric low-grade glioma; Magnetic resonance imaging; Radiomics; Machine learning; fusion;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

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