Advancing COVID-19 differentiation with a robust preprocessing and integration of multi-institutional open-repository computer tomography datasets for deep learning analysis

The coronavirus pandemic and its unprecedented consequences globally has spurred the interest of the artificial intelligence research community. A plethora of published studies have investigated the role of imaging such as chest X-rays and computer tomography in coronavirus disease 2019 (COVID-19) a...

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Detalles Bibliográficos
Autores principales: Trivizakis, Eleftherios, Tsiknakis, Nikos, Vassalou, Evangelia E., Papadakis, Georgios Z., Spandidos, Demetrios A., Sarigiannis, Dimosthenis, Tsatsakis, Aristidis, Papanikolaou, Nikolaos, Karantanas, Apostolos H., Marias, Kostas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2020
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7500043/
https://www.ncbi.nlm.nih.gov/pubmed/32968435
http://dx.doi.org/10.3892/etm.2020.9210

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7500043/
https://www.ncbi.nlm.nih.gov/pubmed/32968435
http://dx.doi.org/10.3892/etm.2020.9210

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