Artificial Intelligence, Radiomics, and Deep Learning in Neuro-Oncology

被引：4
|
作者：
Galldiks, Norbert [1 ,2 ,3 ,4 ,5 ,11 ,12 ]
Zadeh, Gelareh [6 ,7 ,8 ,9 ]
Lohmann, Philipp [1 ,10 ,11 ]
机构：
[1] Res Ctr Juelich, Inst Neurosci & Med INM 3 INM 4, Julich, Germany
[2] Univ Cologne, Dept Neurol, Fac Med, Cologne, Germany
[3] Univ Aachen, Ctr Integrated Oncol CIO, Bonn, Germany
[4] Univ Aachen, Ctr Integrated Oncol CIO, Cologne, Germany
[5] Univ Aachen, Ctr Integrated Oncol CIO, Dusseldorf, Germany
[6] Univ Hlth Network, Wilkins Family Chair Brain Tumor Res, Princess Margaret Canc Ctr, Toronto, ON, Canada
[7] Univ Hlth Network, Wilkins Family Chair Brain Tumor Res, MacFeeters Hamilton Ctr Neurooncol Res, Toronto, ON, Canada
[8] Toronto Western Hosp, Div Neurosurg, Toronto, ON, Canada
[9] Krembil Brain Inst, Toronto, ON, Canada
[10] Univ Cologne, Fac Med, Dept Stereotaxy & Funct Neurosurg, Cologne, Germany
[11] Univ Cologne, Univ Hosp Cologne, Cologne, Germany
[12] Res Ctr Juelich, Inst Neurosci & Med INM 3, Leo Brandt St, D-52425 Julich, Germany
来源：
NEURO-ONCOLOGY ADVANCES | 2020年 / 2卷 / SUPP 4期
关键词：
IMAGES;
D O I：
10.1093/noajnl/vdaa179
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
引用
收藏
页码：1 / 2
页数：2
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