Breast cancer diagnosis model using stacked autoencoder with particle swarm optimization

• Published in: Ain Shams Engineering Journal Vol. 15; no. 6; p. 102734
• Main Authors: Manimurugan, S., Karthikeyan, P., Aborokbah, Majed, Narmatha, C., Ganesan, Subramaniam
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.06.2024; Elsevier
• Subjects: Breast cancer; CAD; INBreast; Res-SegNet; Stacked autoencoder; VGG-19; Stacked autoencoder; Res-SegNet; Breast cancer; INBreast; VGG-19; CAD

Breast cancer (BrC) stands as the most prevalent cancer affecting women globally, comprising 24.5% of all female cancer diagnoses and contributing to 15.0% of total cancer-related fatalities. The timely detection and precise categorization of breast cancer play pivotal roles in enhancing patient pro...