Early detection of the breast cancer using infrared technology – A comprehensive review

Aigerim Mashekova, Yong Zhao, Eddie Y.K. Ng, Vasilios Zarikas, Sai Cheong Fok, Olzhas Mukhmetov

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
JournalThermal Science and Engineering Progress
Volume27
DOIs
Publication statusPublished - 2022

Keywords

  • Thermography
  • Breast cancer
  • Numerical modeling
  • Reverse modeling
  • Artificial intelligence
  • Machine learning

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