Brain Tumor Detection and Classification Using Deep Learning and Sine-Cosine Fitness Grey Wolf Optimization

Diagnosing a brain tumor takes a long time and relies heavily on the radiologist’s abilities and experience. The amount of data that must be handled has increased dramatically as the number of patients has increased, making old procedures both costly and ineffective. Many researchers investigated a...

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Detalles Bibliográficos
Autores principales: ZainEldin, Hanaa, Gamel, Samah A., El-Kenawy, El-Sayed M., Alharbi, Amal H., Khafaga, Doaa Sami, Ibrahim, Abdelhameed, Talaat, Fatma M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9854739/
https://www.ncbi.nlm.nih.gov/pubmed/36671591
http://dx.doi.org/10.3390/bioengineering10010018

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9854739/
https://www.ncbi.nlm.nih.gov/pubmed/36671591
http://dx.doi.org/10.3390/bioengineering10010018

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