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

被引:0
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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;
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