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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2020
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Materias: | |
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 |
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