Early detection of the breast cancer using infrared technology – A comprehensive review
Mashekova A. Zhao Y. Ng E.Y.K. Zarikas V. Fok S.C. Mukhmetov O.
1 January 2022Elsevier Ltd
Thermal Science and Engineering Progress
2022#27
Breast cancer is one of the most common and deadly diseases in women, which can also affect men. Early detection and treatment of this disease can increase the chances of cure. Currently, there are many different approaches to breast cancer screening, each of which has its own advantages and disadvantages. Thermography is one of those breast cancer screening methods that is considered safe and non-invasive. The approach with new image processing and intelligent classification techniques has gained renewed interest. The non-contact technology, which is relatively inexpensive, has great potential for integration with the Internet for early detection of breast cancer through mass screening and subsequent continuous monitoring of suspected patients. This paper presents a comprehensive review of previous studies conducted at the intersection of thermography, numerical simulation, and artificial intelligence that can improve early detection of breast cancer.
Artificial intelligence , Breast cancer , Machine learning , Numerical modeling , Reverse modeling , Thermography
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Nazarbayev University, School of Engineering and Digital Sciences, Nur-Sultan, Kazakhstan
Nanyang Technological University, School of Mechanical and Aerospace Engineering, Singapore
Nazarbayev University
Nanyang Technological University
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026