Intelligent System of Diagnostics of Thyroid Gland Pathology

UDC 681.327.12 (045),  DOI: 10.18372/1990-5548.57.13228

I. Chumachenko, A. T. Kot, О. O. Voitiuk. Intelligent System of Diagnostics of Thyroid Gland Pathology // Electronics and Control Systems, N3(57) – Kyiv: NAU, 2018. – pp. 24–29.

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.

Index Terms—Thyroid pathology diagnostics intelligent system; fuzzy neural networks; convolution neural networks.

References: 7 name.