国际光学工程学会
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作者:Mateusz Matysiewicz , Łukasz Neumann ...
来源:[C].Symposium on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (WILGA)2016SPIE
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 ...
作者:Mateusz Matysiewicz , Łukasz Neumann ...
来源:[C].Symposium on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (WILGA)2016SPIE
摘要:Using classification learning algorithms for medical applications may require not only refined model creation techniques and careful unbiased model evaluation, but also detecting the risk of misclassification at the time of model application. This is addressed by novelty detectio...
作者:... Dariusz Jagodziński , Mateusz Matysiewicz , Łukasz Neumann
来源:[C].Symposium on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (WILGA)2016SPIE
摘要:The computer system for an automatic interpretation of thermographic pictures created by the Br-aster devices uses image processing and machine learning algorithms. The huge set of attributes analyzed by this software includes the asymmetry measurements between corresponding imag...
作者:Mateusz Matysiewicz , Łukasz Neumann ...
来源:[C].Symposium on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (WILGA)2016SPIE
摘要:This contribution introduces the method of cancer pathologies detection on breast skin temperature distribution images. The use of thermosensitive foils applied to the breasts skin allows to create thermograms, which displays the amount of infrared energy emitted by all breast ce...
作者:... Paweł Cichosz , Dariusz Jagodziński , Mateusz Matysiewicz
来源:[C].Symposium on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (WILGA)2016SPIE
摘要:Performance of binary classification of breast cancer suffers from high imbalance between classes. In this article we present the preprocessing module designed to negate the discrepancy in training examples. Preprocessing module is based on standardization, Synthetic Minority Ove...
作者:Mateusz Matysiewicz , Łukasz Neumann
来源:[C].Symposium on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (WILGA)2016SPIE
摘要:Thermographic 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 ...
作者:Mateusz Matysiewicz , Łukasz Neumann ...
来源:[C].Symposium on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (WILGA)2016SPIE
摘要:This article presents the application of machine learning algorithms for early detection of breast cancer on the basis of thermographic images. Supervised learning model: Support vector machine (SVM) and Sequential Minimal Optimization algorithm (SMO) for the training of SVM clas...

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