BRMI-Net: Deep Learning Features and Flower Pollination-Controlled Regula Falsi-Based Feature Selection Framework for Breast Cancer Recognition in Mammography Images

The early detection of breast cancer using mammogram images is critical for lowering women’s mortality rates and allowing for proper treatment. Deep learning techniques are commonly used for feature extraction and have demonstrated significant performance in the literature. However, these features d...

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Detalles Bibliográficos
Autores principales: Rehman, Shams ur, Khan, Muhamamd Attique, Masood, Anum, Almujally, Nouf Abdullah, Baili, Jamel, Alhaisoni, Majed, Tariq, Usman, Zhang, Yu-Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10178634/
https://www.ncbi.nlm.nih.gov/pubmed/37175009
http://dx.doi.org/10.3390/diagnostics13091618

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10178634/
https://www.ncbi.nlm.nih.gov/pubmed/37175009
http://dx.doi.org/10.3390/diagnostics13091618

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