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
AbstractThe 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.
|Publication size in sheets||0.5|
|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|
|Score|| = 15.0, 03-02-2020, BookChapterMatConfByConferenceseries|
= 15.0, 03-02-2020, BookChapterMatConfByConferenceseries
|Publication indicators||= 1; = 8|
|Citation count*||8 (2019-02-15)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.