A deep learning radiomics model for preoperative grading in meningioma-Reference-Cited by-同舟云学术

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A deep learning radiomics model for preoperative grading in meningioma

Published:2019-07 Issue: Volume:116 Page:128-134
ISSN:0720-048X
Container-title:European Journal of Radiology
language:en
Short-container-title:European Journal of Radiology

Author:

Zhu Yongbei,Man Chuntao,Gong Lixin,Dong Di,Yu Xinyi,Wang Shuo,Fang Mengjie,Wang Siwen,Fang Xiangming,Chen Xuzhu,Tian Jie^ORCID

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Beijing Natural Science Foundation

Bureau of International Cooperation of Chinese Academy of Sciences

Instrument Developing Project of the Chinese Academy of Sciences

Youth Innovation Promotion Association CAS

Natural Science Foundation of Heilongjiang Province

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Reference39 articles.

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2. The 2016 World Health Organization classification of tumors of the central nervous system: a summary;Louis;Acta Neuropathol.,2016

3. Practical Surgical Neuropathology: A Diagnostic Approach;Meningiomas,2018

4. World Health Organization grade II meningioma: a 10-year retrospective study for recurrence and prognostic factor assessment;Champeaux;World Neurosurg.,2016

5. NCCN guidelines Insights: central nervous system cancers, version 1. 2017;Nabors;J. Natl. Compr. Cancer Netw.,2017

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