Contour Classification In Thremographic Images For Detection Of Breast Cancer
PHOTONICS APPLICATIONS IN ASTRONOMY, COMMUNICATIONS, INDUSTRY, AND HIGH-ENERGY PHYSICS EXPERIMENTS 2016(2016)
Abstract
Thermographic images of breast taken by the Braster device are uploaded into web application which uses different classification algorithms to automatically decide whether 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.
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Key words
machine learning, thermography, breast cancer
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