Paper
28 September 2016 Automatic recognition of thermographic examinations for early detection of breast cancer
Mateusz Matysiewicz, Łukasz Neumann, Robert M. Nowak, Rafał Okuniewski, Witold Oleszkiewicz, Paweł Cichosz, Dariusz Jagodziński
Author Affiliations +
Proceedings Volume 10031, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016; 100312X (2016) https://doi.org/10.1117/12.2249067
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016, 2016, Wilga, Poland
Abstract
This 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.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mateusz Matysiewicz, Łukasz Neumann, Robert M. Nowak, Rafał Okuniewski, Witold Oleszkiewicz, Paweł Cichosz, and Dariusz Jagodziński "Automatic recognition of thermographic examinations for early detection of breast cancer", Proc. SPIE 10031, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016, 100312X (28 September 2016); https://doi.org/10.1117/12.2249067
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KEYWORDS
Breast

Image classification

Pathology

Breast cancer

Classification systems

Machine learning

Matrices

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