Contour classification in thermographic images for detection of breast cancer

Rafał Okuniewski; Robert M. Nowak; Paweł Cichosz; Dariusz Jagodziński; Mateusz Matysiewicz; Łukasz Neumann; Witold Oleszkiewicz

doi:10.1117/12.2249065

28 September 2016 Contour classification in thermographic images for detection of breast cancer

Rafał Okuniewski, Robert M. Nowak, Paweł Cichosz, Dariusz Jagodziński, Mateusz Matysiewicz, Łukasz Neumann, Witold Oleszkiewicz

Author Affiliations +

Proceedings Volume 10031, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016; 100312V (2016) https://doi.org/10.1117/12.2249065
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016, 2016, Wilga, Poland

Abstract

Thermographic images of breast taken by the Braster device are uploaded into web application which uses different classification algorithms to automatically decide whether a patient should be more thoroughly examined. This article presents the approach to the task of classifying contours visible on thermographic images of breast taken by the Braster device in order to make the decision about the existence of cancerous tumors in breast. It presents the results of the researches conducted on the different classification algorithms.

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Rafał Okuniewski, Robert M. Nowak, Paweł Cichosz, Dariusz Jagodziński, Mateusz Matysiewicz, Łukasz Neumann, and Witold Oleszkiewicz "Contour classification in thermographic images for detection of breast cancer", Proc. SPIE 10031, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016, 100312V (28 September 2016); https://doi.org/10.1117/12.2249065

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