Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/164322
Title: Early detection of the breast cancer using infrared technology – a comprehensive review
Authors: Mashekova, Aigerim
Zhao, Yong
Ng, Eddie Yin Kwee
Zarikas, Vasilios
Fok, Sai Cheong
Mukhmetov, Olzhas
Keywords: Engineering::Mechanical engineering
Science::Medicine
Issue Date: 2022
Source: Mashekova, A., Zhao, Y., Ng, E. Y. K., Zarikas, V., Fok, S. C. & Mukhmetov, O. (2022). Early detection of the breast cancer using infrared technology – a comprehensive review. Thermal Science and Engineering Progress, 27, 101142-. https://dx.doi.org/10.1016/j.tsep.2021.101142
Journal: Thermal Science and Engineering Progress
Abstract: 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.
URI: https://hdl.handle.net/10356/164322
ISSN: 2451-9049
DOI: 10.1016/j.tsep.2021.101142
Schools: School of Mechanical and Aerospace Engineering 
Rights: © 2021 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles

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