Real-time thermography for breast cancer detection with deep learning
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,...
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Main Authors: | Al Husaini, Mohammed Abdulla Salim, Habaebi, Mohamed Hadi, Islam, Md Rafiqul |
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Format: | Article |
Language: | English |
Published: |
Springer Nature
2024
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Subjects: | |
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 |
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