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

页码：118 / 119

页数：2

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