Contour classification in thermographic images for detection of breast cancer
Rafał Okuniewski , Robert Marek Nowak , Paweł Cichosz , Dariusz Jagodziński , Mateusz Matysiewicz , Łukasz Neumann , Witold Oleszkiewicz
AbstractThermographic images of breast taken by the Braster device are uploaded into web application which uses different classification algorithms to automatically decide whether a patient should be more thoroughly examined. This article presents the approach to the task of classifying contours visible on thermographic images of breast taken by the Braster device in order to make the decision about the existence of cancerous tumors in breast. It presents the results of the researches conducted on the different classification algorithms.
|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, P.O. Box 10, Bellingham, Washington 98227-0010 USA , SPIE , ISBN 9781510604858, [781510604865 (electronic) ], 1170 p., DOI:10.1117/12.2257157|
|Score|| = 15.0, 06-07-2020, BookChapterMatConfByConferenceseries|
= 15.0, 06-07-2020, BookChapterMatConfByConferenceseries
|Publication indicators||= 0; = 1; = 7.0|
|Citation count*||7 (2020-08-28)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.