A machine learning-based prediction model of H3K27M mutations in brainstem gliomas using conventional MRI and clinical features-Reference-Cited by-同舟云学术

A machine learning-based prediction model of H3K27M mutations in brainstem gliomas using conventional MRI and clinical features

Published:2019-01 Issue: Volume:130 Page:172-179
ISSN:0167-8140
Container-title:Radiotherapy and Oncology
language:en
Short-container-title:Radiotherapy and Oncology

Author:

Pan Chang-cun,Liu Jia,Tang Jie,Chen Xin,Chen Fang,Wu Yu-liang,Geng Yi-bo,Xu Cheng,Zhang Xinran,Wu Zhen,Gao Pei-yi,Zhang Jun-ting,Yan Hai,Liao Hongen,Zhang Li-wei

Funder

Ministry of Science and Technology of China

National Natural Science Foundation of China

Beijing Municipal Administration of Hospitals Clinical Medicine Development of Special Funding Support

the Beijing Municipal Science & Technology Commission

Beijing Municipal Natural Science Foundation

Publisher

Elsevier BV

Subject

Radiology Nuclear Medicine and imaging,Oncology,Hematology

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