COVID-19 classification of X-ray images using deep neural networks

被引：0
作者：
Daphna Keidar
Daniel Yaron
Elisha Goldstein
Yair Shachar
Ayelet Blass
Leonid Charbinsky
Israel Aharony
Liza Lifshitz
Dimitri Lumelsky
Ziv Neeman
Matti Mizrachi
Majd Hajouj
Nethanel Eizenbach
Eyal Sela
Chedva S. Weiss
Philip Levin
Ofer Benjaminov
Gil N. Bachar
Shlomit Tamir
Yael Rapson
Dror Suhami
Eli Atar
Amiel A. Dror
Naama R. Bogot
Ahuva Grubstein
Nogah Shabshin
Yishai M. Elyada
Yonina C. Eldar
机构：
[1] ETH Zürich,Department of Math and Computer Science
[2] Department of Computer Science,Bioinformatics Unit, Life Sciences Core Facilities
[3] Weizmann Institute of Science,Department of Radiology
[4] Weizmann Institute of Science,Department of Otolaryngology, Head and Neck Surgery
[5] Eyeway Vision Ltd.,The Azrieli Faculty of Medicine
[6] HaEmek Medical Center,Cardiothoracic Imaging Unit
[7] Galilee Medical Center,Radiology Department
[8] Bar-Ilan University,Sakler School of Medicine
[9] Shaare Zedek Medical Center,undefined
[10] Rabin Medical Center,undefined
[11] Tel-Aviv University,undefined
[12] Mobileye Vision Technologies,undefined
[13] Ltd.,undefined
来源：
European Radiology | 2021年 / 31卷
关键词：
COVID-19; X-rays; Machine learning; Radiography; Thoracic;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：9654 / 9663
页数：9
相关论文
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