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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Imaging Informatics and Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8164481/
https://www.ncbi.nlm.nih.gov/pubmed/34052882
http://dx.doi.org/10.1007/s00330-021-08050-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8164481/
https://www.ncbi.nlm.nih.gov/pubmed/34052882
http://dx.doi.org/10.1007/s00330-021-08050-1

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