Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization

COVID-19 is currently raging worldwide, with more patients being diagnosed every day. It usually is diagnosed by examining pathological photographs of the patient's lungs. There is a lot of detailed and essential information on chest radiographs, but manual processing is not as efficient or acc...

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Detalles Bibliográficos
Autores principales: Su, Hang, Zhao, Dong, Elmannai, Hela, Heidari, Ali Asghar, Bourouis, Sami, Wu, Zongda, Cai, Zhennao, Gui, Wenyong, Chen, Mayun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9113963/
https://www.ncbi.nlm.nih.gov/pubmed/35690477
http://dx.doi.org/10.1016/j.compbiomed.2022.105618

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9113963/
https://www.ncbi.nlm.nih.gov/pubmed/35690477
http://dx.doi.org/10.1016/j.compbiomed.2022.105618

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