Automatic recognition of thermographic examinations for early detection of breast cancer

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

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.
Author Mateusz Matysiewicz
Mateusz Matysiewicz,,
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, Łukasz Neumann
Łukasz Neumann,,
-
, Robert Marek Nowak ISE
Robert Marek Nowak,,
- The Institute of Electronic Systems
, Rafał Okuniewski
Rafał Okuniewski,,
-
, Witold Oleszkiewicz
Witold Oleszkiewicz,,
-
, Paweł Cichosz ISE
Paweł Cichosz,,
- The Institute of Electronic Systems
, Dariusz Jagodziński ISE
Dariusz Jagodziński,,
- The Institute of Electronic Systems
Pages100312X-1-100312X-7
Publication size in sheets0.5
Book Romaniuk Ryszard (eds.): Proc. SPIE. 10031, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016, vol. 10031, 2016, SPIE , ISBN 9781510604858, [781510604865 (electronic) ], 1170 p., DOI:10.1117/12.2257157
DOIDOI:10.1117/12.2249067
URL http://dx.doi.org/10.1117/12.2249067
Languageen angielski
File
100312X_Matysiewicz.pdf (file archived - login or check accessibility on faculty) 100312X_Matysiewicz.pdf 621.45 KB
Score (nominal)15
ScoreMinisterial score = 15.0, 27-03-2017, BookChapterMatConf
Ministerial score (2013-2016) = 15.0, 27-03-2017, BookChapterMatConf
Citation count*0
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