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

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

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...

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Bibliographic Details
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
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