Adaptive Aquila Optimizer with Explainable Artificial Intelligence-Enabled Cancer Diagnosis on Medical Imaging

SIMPLE SUMMARY: For automated cancer diagnosis on medical imaging, explainable artificial intelligence technology uses advanced image analysis methods like deep learning to make a diagnosis and analyze medical images, as well as provide a clear explanation for how it arrived at its diagnosis. The ob...

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Detalles Bibliográficos
Autores principales: Alkhalaf, Salem, Alturise, Fahad, Bahaddad, Adel Aboud, Elnaim, Bushra M. Elamin, Shabana, Samah, Abdel-Khalek, Sayed, Mansour, Romany F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10001070/
https://www.ncbi.nlm.nih.gov/pubmed/36900283
http://dx.doi.org/10.3390/cancers15051492

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10001070/
https://www.ncbi.nlm.nih.gov/pubmed/36900283
http://dx.doi.org/10.3390/cancers15051492

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