Abstract
The present work is aimed at improving the efficiency of selection of traits in order to increase the information value of the checked pulmonary node, as well as the comparative evaluation of machine learning algorithms for classification in CT images.
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Artemova, G., Gusarova, N., Dobrenko, N., Trofimov, V., Vatian, A. (2016). Analysis of the Classification Methods of Cancer Types by Computer Tomography Images. In: Chugunov, A., Bolgov, R., Kabanov, Y., Kampis, G., Wimmer, M. (eds) Digital Transformation and Global Society. DTGS 2016. Communications in Computer and Information Science, vol 674. Springer, Cham. https://doi.org/10.1007/978-3-319-49700-6_52
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