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Proceedings Paper

Automatic recognition of thermographic examinations for early detection of breast cancer
Author(s): Mateusz Matysiewicz; Łukasz Neumann; Robert M. Nowak; Rafał Okuniewski; Witold Oleszkiewicz; Paweł Cichosz; Dariusz Jagodziński
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Paper Abstract

This article describes the processing and classification of thermographic examinations taken with device developed by Braster SA. The device records the surface temperature of the breast skin using the liquid crystal matrices. Images are analyzed with the use of machine learning algorithms. The result of classification is available after a few minutes and when it detects suspicious changes patient may be referred for detailed examinations.

Paper Details

Date Published: 28 September 2016
PDF: 7 pages
Proc. SPIE 10031, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016, 100312X (28 September 2016); doi: 10.1117/12.2249067
Show Author Affiliations
Mateusz Matysiewicz, Warsaw Univ. of Technology (Poland)
Łukasz Neumann, Warsaw Univ. of Technology (Poland)
Robert M. Nowak, Warsaw Univ. of Technology (Poland)
Rafał Okuniewski, Warsaw Univ. of Technology (Poland)
Witold Oleszkiewicz, Warsaw Univ. of Technology (Poland)
Paweł Cichosz, Warsaw Univ. of Technology (Poland)
Dariusz Jagodziński, Warsaw Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 10031:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016
Ryszard S. Romaniuk, Editor(s)

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