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Comparison and ensemble of 2D and 3D approaches for COVID-19 detection in CT images
Detecting COVID-19 in computed tomography (CT) or radiography images has been proposed as a supplement to the RT-PCR test. We compare slice-based (2D) and volume-based (3D) approaches to this problem and propose a deep learning ensemble, called IST-CovNet, combining the best 2D and 3D systems with n...
Autores principales: | Ali Ahmed, Sara Atito, Yavuz, Mehmet Can, Şen, Mehmet Umut, Gülşen, Fatih, Tutar, Onur, Korkmazer, Bora, Samancı, Cesur, Şirolu, Sabri, Hamid, Rauf, Eryürekli, Ali Ergun, Mammadov, Toghrul, Yanikoglu, Berrin |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8942080/ https://www.ncbi.nlm.nih.gov/pubmed/35345875 http://dx.doi.org/10.1016/j.neucom.2022.02.018 |
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