TY - JOUR
T1 - Early detection of the breast cancer using infrared technology – A comprehensive review
AU - Mashekova, Aigerim
AU - Zhao, Yong
AU - Ng, Eddie Y.K.
AU - Zarikas, Vasilios
AU - Fok, Sai Cheong
AU - Mukhmetov, Olzhas
N1 - Funding Information:
The authors are grateful to the Ministry of Education and Science of the Republic of Kazakhstan for financing this work through the grant financing under the project “Application of artificial intelligence to complement thermography for breast cancer prediction” (AP08857347) and Nazarbayev University for administering the research project.
Publisher Copyright:
© 2021 The Author(s)
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Thermography
KW - Breast cancer
KW - Numerical modeling
KW - Reverse modeling
KW - Artificial intelligence
KW - Machine learning
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U2 - 10.1016/j.tsep.2021.101142
DO - 10.1016/j.tsep.2021.101142
M3 - Article
SN - 2451-9049
VL - 27
JO - Thermal Science and Engineering Progress
JF - Thermal Science and Engineering Progress
M1 - 101142
ER -
