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 thermograph...

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Bibliographic Details
Main Authors:	Yerken Mirasbekov, Nurduman Aidossov, Aigerim Mashekova, Vasilios Zarikas, Yong Zhao, Eddie Yin Kwee Ng, Anna Midlenko
Format:	Article
Language:	English
Published:	MDPI AG 2024-10-01
Series:	Biomimetics
Subjects:	breast cancer Bayesian networks convolutional neural networks explainable artificial intelligence machine learning thermography
Online Access:	https://www.mdpi.com/2313-7673/9/10/609
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