A Lightweight Deep Learning Based Microwave Brain Image Network Model for Brain Tumor Classification Using Reconstructed Microwave Brain (RMB) Images

Computerized brain tumor classification from the reconstructed microwave brain (RMB) images is important for the examination and observation of the development of brain disease. In this paper, an eight-layered lightweight classifier model called microwave brain image network (MBINet) using a self-or...

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Detalles Bibliográficos
Autores principales: Hossain, Amran, Islam, Mohammad Tariqul, Abdul Rahim, Sharul Kamal, Rahman, Md Atiqur, Rahman, Tawsifur, Arshad, Haslina, Khandakar, Amit, Ayari, Mohamed Arslane, Chowdhury, Muhammad E. H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9954219/
https://www.ncbi.nlm.nih.gov/pubmed/36832004
http://dx.doi.org/10.3390/bios13020238

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9954219/
https://www.ncbi.nlm.nih.gov/pubmed/36832004
http://dx.doi.org/10.3390/bios13020238

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