Revolutionizing Oral Cancer Detection: An Approach Using Aquila and Gorilla Algorithms Optimized Transfer Learning-Based CNNs

The early detection of oral cancer is pivotal for improving patient survival rates. However, the high cost of manual initial screenings poses a challenge, especially in resource-limited settings. Deep learning offers an enticing solution by enabling automated and cost-effective screening. This study...

Descripción completa

Detalles Bibliográficos
Autores principales: Badawy, Mahmoud, Balaha, Hossam Magdy, Maklad, Ahmed S., Almars, Abdulqader M., Elhosseini, Mostafa A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10604828/
https://www.ncbi.nlm.nih.gov/pubmed/37887629
http://dx.doi.org/10.3390/biomimetics8060499

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10604828/
https://www.ncbi.nlm.nih.gov/pubmed/37887629
http://dx.doi.org/10.3390/biomimetics8060499

Ejemplares similares