WBM-DLNets: Wrapper-Based Metaheuristic Deep Learning Networks Feature Optimization for Enhancing Brain Tumor Detection

This study presents wrapper-based metaheuristic deep learning networks (WBM-DLNets) feature optimization algorithms for brain tumor diagnosis using magnetic resonance imaging. Herein, 16 pretrained deep learning networks are used to compute the features. Eight metaheuristic optimization algorithms,...

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Detalles Bibliográficos
Autores principales: Ali, Muhammad Umair, Hussain, Shaik Javeed, Zafar, Amad, Bhutta, Muhammad Raheel, Lee, Seung Won
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10135892/
https://www.ncbi.nlm.nih.gov/pubmed/37106662
http://dx.doi.org/10.3390/bioengineering10040475

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10135892/
https://www.ncbi.nlm.nih.gov/pubmed/37106662
http://dx.doi.org/10.3390/bioengineering10040475

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