Real-time thermography for breast cancer detection with deep learning

• Main Authors: Al Husaini, Mohammed Abdulla Salim, Habaebi, Mohamed Hadi, Islam, Md Rafiqul
• Format: Article
• Language: English
• Published: Springer Nature 2024
• Subjects: TK Electrical engineering. Electronics Nuclear engineering; TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
• Online Access: http://irep.iium.edu.my/113989/1/113989_Real-time%20thermography%20for%20breast%20cancer.pdf; http://irep.iium.edu.my/113989/; https://link.springer.com/article/10.1007/s44163-024-00157-w

In this study, we propose a framework that enhances breast cancer classification accuracy by preserving spatial features and leveraging in situ cooling support. The framework utilizes real-time thermography video streaming for early breast cancer detection using Deep Learning models. Inception v3,...