Asymmetry features for classification of thermograms in breast cancer detection

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

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.
Author 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
, Mateusz Matysiewicz
Mateusz Matysiewicz,,
-
, Łukasz Neumann
Łukasz Neumann,,
-
Pages100312W-1-100312W-8
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:10.1117/12.2249066
URL http://dx.doi.org/10.1117/12.2249066
Languageen angielski
File
100312W_Nowak.pdf 435.41 KB
Score (nominal)15
ScoreMinisterial score = 15.0, 27-03-2017, BookChapterMatConf
Ministerial score (2013-2016) = 15.0, 27-03-2017, BookChapterMatConf
Citation count*7 (2018-07-13)
Cite
Share Share

Get link to the record
msginfo.png


* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
Back