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Proceedings Paper

Asymmetry features for classification of thermograms in breast cancer detection
Author(s): Robert M. Nowak; Rafał Okuniewski; Witold Oleszkiewicz; Paweł Cichosz; Dariusz Jagodziński; Mateusz Matysiewicz; Łukasz Neumann
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Paper Abstract

The computer system for an automatic interpretation of thermographic pictures created by the Br-aster devices uses image processing and machine learning algorithms. The huge set of attributes analyzed by this software includes the asymmetry measurements between corresponding images, and these features are analyzed in presented paper. The system was tested on real data and achieves accuracy comparable to other popular techniques used for breast tumour detection.

Paper Details

Date Published: 28 September 2016
PDF: 8 pages
Proc. SPIE 10031, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016, 100312W (28 September 2016); doi: 10.1117/12.2249066
Show Author Affiliations
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)
Mateusz Matysiewicz, Warsaw Univ. of Technology (Poland)
Łukasz Neumann, 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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