EARLY DETECTION OF THE BREAST CANCER USING INFRARED TECHNOLOGY – A COMPREHENSIVE REVIEW

dc.contributor.authorMashekova, Aigerim
dc.contributor.authorZhao, Yong
dc.contributor.authorNg, Eddie Y.K.
dc.contributor.authorZarikas, Vasilios
dc.contributor.authorFok, Sai Cheong
dc.contributor.authorMukhmetov, Olzhas
dc.date.accessioned2022-03-01T08:02:46Z
dc.date.available2022-03-01T08:02:46Z
dc.date.issued2021
dc.description.abstractBreast 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 tech nology, 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.en_US
dc.identifier.citationMashekova, A., Zhao, Y., Ng, E. Y., 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://doi.org/10.1016/j.tsep.2021.101142en_US
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/6076
dc.language.isoenen_US
dc.publisherThermal Science and Engineering Progressen_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectType of access: Open Accessen_US
dc.subjectThermographyen_US
dc.subjectBreast canceren_US
dc.subjectNumerical modelingen_US
dc.subjectReverse modelingen_US
dc.subjectArtificial intelligenceen_US
dc.subjectMachine learningen_US
dc.titleEARLY DETECTION OF THE BREAST CANCER USING INFRARED TECHNOLOGY – A COMPREHENSIVE REVIEWen_US
dc.typeArticleen_US
workflow.import.sourcescience

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