Automatic recognition of thermographic examinations for early detection of breast cancer
Mateusz Matysiewicz , Łukasz Neumann , Robert Marek Nowak , Rafał Okuniewski , Witold Oleszkiewicz , Paweł Cichosz , Dariusz Jagodziński
AbstractThis article describes the processing and classification of thermographic examinations taken with device developed by Braster SA. The device records the surface temperature of the breast skin using the liquid crystal matrices. Images are analyzed with the use of machine learning algorithms. The result of classification is available after a few minutes and when it detects suspicious changes patient may be referred for detailed examinations.
|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, 27-03-2017, BookChapterMatConf|
= 15.0, 27-03-2017, BookChapterMatConf
|Citation count*||0 (2018-07-20)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.