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...

Descripción completa

Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2022
Materias:
Article
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

Internet

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

Ejemplares similares