Cargando…
COVID-19 detection from CT scans using a two-stage framework
Coronavirus disease 2019 (COVID-19) is a contagious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It may cause serious ailments in infected individuals and complications may lead to death. X-rays and Computed Tomography (CT) scans can be used for the diagnosis of th...
Autores principales: | Basu, Arpan, Sheikh, Khalid Hassan, Cuevas, Erik, Sarkar, Ram |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8720180/ https://www.ncbi.nlm.nih.gov/pubmed/35002099 http://dx.doi.org/10.1016/j.eswa.2021.116377 |
Ejemplares similares
-
Harris Hawks optimisation with Simulated Annealing as a deep feature selection method for screening of COVID-19 CT-scans
por: Bandyopadhyay, Rajarshi, et al.
Publicado: (2021) -
Detection of COVID-19 from CT scan images: A spiking neural network-based approach
por: Garain, Avishek, et al.
Publicado: (2021) -
A Two-Stage Framework for Automated Malignant Pulmonary Nodule Detection in CT Scans
por: EL-Bana, Shimaa, et al.
Publicado: (2020) -
Two-Stage Deep Learning Framework for Discrimination between COVID-19 and Community-Acquired Pneumonia from Chest CT scans
por: Abdel-Basset, Mohamed, et al.
Publicado: (2021) -
COVID-19 detection from lung CT-Scans using a fuzzy integral-based CNN ensemble
por: Kundu, Rohit, et al.
Publicado: (2021)