Open AccessРанняя диагностика меланомы кожи с применением нескольких изображающих систем
Author(s) -
К.Г. Кудрин,
Е.Н. Римская,
И.А. Аполлонова,
А.П. Николаев,
Н.В. Черномырдин,
Д.С. Святославов,
Д.В. Давыдов,
И.В. Решетов
Publication year - 2020
Publication title -
žurnal tehničeskoj fiziki
Language(s) - English
Resource type - Journals
eISSN - 1726-748X
pISSN - 0044-4642
DOI - 10.21883/os.2020.06.49416.53-20
Subject(s) - artificial intelligence , computer science , melanoma , pattern recognition (psychology) , computer vision , medicine , cancer research
A complex approach to the early diagnosis of skin melanoma has been proposed. The approach involves a step-by-step examination of pigment tumors using several imaging systems. The features of morphometry of clinical images of pigmented skin neoplasms, features of imaging systems, the main stages of automated image processing and pattern recognition in the melanoma diagnosis has been considered. The metrological features of the proposed approach has been shown: the measurement errors of the clinical parameters of skin neoplasms by the proposed methods do not exceed the allowable errors. The approbation of the offered approach has been showed that sensitivity and specificity of the used methods exceeds 90%