Abstract
The problem of classification of breast tumors on medical images is considered. For its solution new class of convolutional neural networks-hybrid CNN-FNN network is developed in which convolutional neural network VGG-16 is used as feature extractor while fuzzy neural network NEFClass is used as classifier. Training algorithms of FNN were implemented. The experimental investigations of the suggested hybrid network on the standard data set were carried out and comparison with known results was performed. The problem of data dimensionality reduction is considered and application of PCM method is investigated.
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Zaychenko, Y., Hamidov, G. (2020). Hybrid Fuzzy CNN Network in the Problem of Medical Images Classification and Diagnostics. In: Liu, Y., Wang, L., Zhao, L., Yu, Z. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2019. Advances in Intelligent Systems and Computing, vol 1074. Springer, Cham. https://doi.org/10.1007/978-3-030-32456-8_95
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DOI: https://doi.org/10.1007/978-3-030-32456-8_95
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