Self-adaptive moth flame optimizer combined with crossover operator and Fibonacci search strategy for COVID-19 CT image segmentation

The COVID-19 is one of the most significant obstacles that humanity is now facing. The use of computed tomography (CT) images is one method that can be utilized to recognize COVID-19 in early stage. In this study, an upgraded variant of Moth flame optimization algorithm (Es-MFO) is presented by cons...

Descripción completa

Detalles Bibliográficos
Autores principales: Kumar Sahoo, Saroj, Houssein, Essam H., Premkumar, M., Kumar Saha, Apu, Emam, Marwa M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10163947/
https://www.ncbi.nlm.nih.gov/pubmed/37193000
http://dx.doi.org/10.1016/j.eswa.2023.120367

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10163947/
https://www.ncbi.nlm.nih.gov/pubmed/37193000
http://dx.doi.org/10.1016/j.eswa.2023.120367

Ejemplares similares