Abstract.
The paper considers the optimization of a set of brightness gradations for pixel images of tissue morphology in patients with oncological pathology. The influence of the set of pixel brightness gradations on the functional performance of the training system of cancer image recognition is analyzed. The analysis revealed that the modified set of brightness of pixels of the receptive field increases the value of the criterion of functional efficiency and, as a result, the reliability of the recognition. Figs: 5. Refs: 8 titles.
Keywords: collection of pixel brightness gradations, information-extreme intelligent technology, decision-making support system, training, recognition, oncological pathology.
Довбыш Анатолий Степанович, доктор техн. наук, профессор, заведующий кафедрой Сумского государственного университета,
e-mail: kras@id.sumdu.edu.ua.
Руденко Максим Сергеевич, аспирант Сумского государственного университета,
e-mail: makrudenko@yandex.ru.