Asymmetry features for classification of thermograms in breast cancer detection

Robert M. Nowak; Rafał Okuniewski; Witold Oleszkiewicz; Paweł Cichosz; Dariusz Jagodziński; Mateusz Matysiewicz; Łukasz Neumann

doi:10.1117/12.2249066

28 September 2016 Asymmetry features for classification of thermograms in breast cancer detection

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

Author Affiliations +

Proceedings Volume 10031, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016; 100312W (2016) https://doi.org/10.1117/12.2249066
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016, 2016, Wilga, Poland

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.

Citation Download Citation

Robert M. Nowak, Rafał Okuniewski, Witold Oleszkiewicz, Paweł Cichosz, Dariusz Jagodziński, Mateusz Matysiewicz, and Łukasz Neumann "Asymmetry features for classification of thermograms in breast cancer detection", Proc. SPIE 10031, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016, 100312W (28 September 2016); https://doi.org/10.1117/12.2249066

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available