LINKING HISTOLOGICAL GLIOBLASTOMA PHENOTYPES TO TRANSCRIPTIONAL SUBTYPES AND PROGNOSIS USING DEEP LEARNING

被引：0
|
作者：
Roetzer-Pejrimovsky, Thomas [1 ]
Kiesel, Barbara [2 ]
Nenning, Karl-Heinz [3 ]
Klughammer, Johanna [4 ,5 ]
Rajchl, Martin [6 ]
Bock, Christoph [7 ]
Hainfellner, Johannes [8 ]
Baumann, Bernhard [9 ]
Langs, Georg [10 ]
Woehrer, Adelheid [1 ]
机构：
[1] Med Univ Vienna, Div Neuropathol & Neurochem, Dept Neurol, Vienna, Austria
[2] Med Univ Vienna, Dept Neurosurg, Vienna, Austria
[3] Nathan S Kline Inst Psychiat Res, New York, NY USA
[4] Ludwig Maximilians Univ Munchen, Gene Ctr, Munich, Germany
[5] Ludwig Maximilians Univ Munchen, Dept Biochem, Munich, Germany
[6] Imperial Coll London, Dept Comp & Med, London, England
[7] Austrian Acad Sci, CeMM Res Ctr Mol Med, Vienna, Austria
[8] Med Univ Vienna, Div Neuropathol & Neurochem Obersteiner Inst, Dept Neurol, Vienna, Austria
[9] Med Univ Vienna, Ctr Med Phys & Biomed Engn, Vienna, Austria
[10] Med Univ Vienna, Dept Biomed Imaging & Image Guided Therapy, Computat Imaging Res Lab, Vienna, Austria
来源：
NEURO-ONCOLOGY | 2022年 / 24卷
关键词：
D O I：
暂无
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
EPCO-15
引用
收藏
页码：118 / 119
页数：2
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