INTELLIGENT SYSTEM OF DIAGNOSTICS OF THYROID GLAND PATHOLOGY

O. I. Chumachenko, A. T. Kot, О. O. Voitiuk

Abstract


It is considered a principle of thyroid pathology diagnostics intelligent system structure. It is determined basic ultrasound images features for patients with thyroid cancers. The block diagram of intellectual diagnostics is proposed. It includes two basic subsystems: making decision support and image processing. As a classifier it is used fuzzy neural networks (NEFCLASS) due to its synergy capabilities: rule-based representation and generalization possibilities. As a activation function of rule neuron (to calculate of activation of rules on the basis of membership functions) the T-norm is used. It is used convolution neural networks for ultrasound images processing.

Keywords


Thyroid pathology diagnostics intelligent system; fuzzy neural networks; convolution neural networks.

References


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