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Hybrid Fuzzy CNN Network in the Problem of Medical Images Classification and Diagnostics

  • Yuriy ZaychenkoEmail author
  • Galib Hamidov
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1074)

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.

Keywords

Breast tumor classification FNN NEFclass hybrid CNN 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Institute for Applied System Analysis, Igor Sikorsky Kyiv Polytechnic KyivKievUkraine
  2. 2.Information Technologies Department, AzershigBakuAzerbaijan

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