Improved Bald Eagle Search Optimization with Synergic Deep Learning-Based Classification on Breast Cancer Imaging

SIMPLE SUMMARY: The manual process of microscopic inspections is a laborious task, and the results might be misleading as a result of human error occurring. This article presents a model of an improved bald eagle search optimization with a synergic deep learning mechanism for breast cancer diagnoses...

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Detalles Bibliográficos
Autores principales: Hamza, Manar Ahmed, Mengash, Hanan Abdullah, Nour, Mohamed K, Alasmari, Naif, Aziz, Amira Sayed A., Mohammed, Gouse Pasha, Zamani, Abu Sarwar, Abdelmageed, Amgad Atta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9776477/
https://www.ncbi.nlm.nih.gov/pubmed/36551644
http://dx.doi.org/10.3390/cancers14246159

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9776477/
https://www.ncbi.nlm.nih.gov/pubmed/36551644
http://dx.doi.org/10.3390/cancers14246159

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