Fully interpretable deep learning model using IR thermal images for possible breast cancer cases

• Main Authors: Mirasbekov, Yerken, Aidossov, Nurduman, Mashekova, Aigerim, Zarikas, Vasilios, Zhao, Yong, Ng, Eddie Yin Kwee, Midlenko, Anna
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2025
• Subjects: Engineering; Breast cancer; Bayesian networks
• Online Access: https://hdl.handle.net/10356/184374
• Institution: Nanyang Technological University

Breast cancer remains a global health problem requiring effective diagnostic methods for early detection, in order to achieve the World Health Organization's ultimate goal of breast self-examination. A literature review indicates the urgency of improving diagnostic methods and identifies thermo...