Automatic Recognition Of Thermographic Examinations For Early Detection Of Breast Cancer

Mateusz Matysiewicz,Lukasz Neumann,Robert M. Nowak,Rafal Okuniewski,Witold Oleszkiewicz,Pawel Cichosz,Dariusz Jagodzinski

PHOTONICS APPLICATIONS IN ASTRONOMY, COMMUNICATIONS, INDUSTRY, AND HIGH-ENERGY PHYSICS EXPERIMENTS 2016（2016）

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摘要

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.

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computer vision, machine learning

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