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

OBJECTIVES: In the midst of the coronavirus disease 2019 (COVID-19) outbreak, chest X-ray (CXR) imaging is playing an important role in diagnosis and monitoring of patients with COVID-19. We propose a deep learning model for detection of COVID-19 from CXRs, as well as a tool for retrieving similar p...

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Detalhes bibliográficos
Publicado no:Eur Radiol
Main Authors: Keidar, Daphna, Yaron, Daniel, Goldstein, Elisha, Shachar, Yair, Blass, Ayelet, Charbinsky, Leonid, Aharony, Israel, Lifshitz, Liza, Lumelsky, Dimitri, Neeman, Ziv, Mizrachi, Matti, Hajouj, Majd, Eizenbach, Nethanel, Sela, Eyal, Weiss, Chedva S., Levin, Philip, Benjaminov, Ofer, Bachar, Gil N., Tamir, Shlomit, Rapson, Yael, Suhami, Dror, Atar, Eli, Dror, Amiel A., Bogot, Naama R., Grubstein, Ahuva, Shabshin, Nogah, Elyada, Yishai M., Eldar, Yonina C.
Formato: Artigo
Idioma:Inglês
Publicado em: Springer Berlin Heidelberg 2021
Assuntos:
Imaging Informatics and Artificial Intelligence
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8164481/
https://ncbi.nlm.nih.gov/pubmed/34052882
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00330-021-08050-1
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