Information-Extreme Learning Algorithm for a System of Recognition of Morphological Images in Diagnosing Oncological Pathologies
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This paper considers the optimization of a set of brightness gradations for pixel images of the tissue morphology of patients with oncological pathology. The influence of a set of pixel brightness gradations on the functional performance of training a system for the recognition of images of oncological diseases is analyzed. It is established that a change in the collection of pixel brightnesses in the receptive field increases the value of the criterion of functional efficiency and, as a result, the reliability of recognition.
Keywordscollection of pixel brightness gradations information-extreme intelligent technology decision-making support system training recognition oncological pathology
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