radioelectronicsИзвестия высших учебных заведений России. РадиоэлектроникаJournal of the Russian Universities. Radioelectronics1993-89852658-4794Saint Petersburg Electrotechnical University10.32603/1993-8985-2020-23-3-80-92radioelectronics-441Research ArticleПРИБОРЫ МЕДИЦИНСКОГО НАЗНАЧЕНИЯ, КОНТРОЛЯ СРЕДЫ, ВЕЩЕСТВ, МАТЕРИАЛОВ И ИЗДЕЛИЙMEDICAL DEVICES, ENVIRONMENT, SUBSTANCES, MATERIAL AND PRODUCTСистемы анализа биомедицинских данных для диагностики злокачественных новообразований кожиBiomedical Data Analysis Systems for the Diagnosis of Skin Neoplasmshttps://orcid.org/0000-0003-0859-1282МякининО. О.MyakininO. O.

Мякинин Олег Олегович ‒ магистр по направлению "Прикладные математика и информатика" (2011), старший преподаватель кафедры лазерных и биотехнических систем Самарского государственного аэрокосмического университета имени академика С. П. Королева, научный сотрудник лаборатории "Фотоника" указанного университета. Автор более 50 научных работ. Сфера научных интересов – компьютерное зрение; искусственный интеллект; обработка биомедицинских сигналов.

Московское шоссе, д. 34, Самара, 443086

Oleg O. Myakinin, master’s degrees of Applied Mathematics and Computer Science, Senior Lecturer of the Department Lasers and Biotechnical Systems of the Samara State Aerospace University, a Researcher of the "Photonics" Laboratory of named University. The author of more than 50 scientific publications. Area of expertise: computer vision; artificial intelligence; biomedical signal processing.

34 Moskovskoe Shosse, Samara 443086

myakole@gmail.comСамарский национальный исследовательский университет имени академика С. П. КоролеваРоссияSamara National Research UniversityRussian Federation2020210720202338092Copyright © Мякинин О.О., 20202020Мякинин О.О.Myakinin O.O.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://re.eltech.ru/jour/article/view/441

Введение. Эффективность диагностики злокачественных новообразований кожи остается неудовлетворительной ввиду сложного процесса интерпретации клинических признаков. С другой стороны, в последние два десятилетия активно развиваются неинвазивные оптические методы диагностики, например цифровая дерматоскопия для визуализации поверхностных новообразований и оптическая когерентная томография (ОКТ) для получения пространственных срезов. Последние успехи в области исследований неинвазивных средств диагностики делают данную область весьма перспективной для исследований в клинических условиях. Цель работы. Создание программных модулей на основе математического аппарата текстурного анализа для биомедицинских систем, предназначенных для диагностики злокачественных новообразований кожи. Материалы и методы. Представлены алгоритмы программных модулей, созданных для оптических установок собственной разработки. Программные модули для дерматоскопического модуля выполнены на основе преобразования Хаара, локальных бинарных шаблонов и цветовых признаков, а для ОКТ - на базе признаков Харалика, Тамура, фрактальной размерности, комплексного поля направлений и марковских случайных полей. Проведены исследования на наборах из 106 дерматоскопических и 1008 ОКТ-изображений, содержащих различные классы патологий, включая меланому и базально-клеточную карциному (БКК). Результаты. Экспериментально получены значения чувствительности и специфичности для дерматоскопической системы и ОКТ. Заключение. Чувствительность дерматоскопической системы с разработанными алгоритмами составила 90 против 93 % по известным источникам, специфичность - 86 против 80 %. Одним из факторов увеличения можно считать введение персонифицированного режима – добавление сравнительных признаков, оценивающих различия между опухолью и нормальной тканью, в программный модуль анализа. При диагностике меланомы точность ОКТ повышена до 97 %, а при диагностике БКК – до 96 %.

Introduction. The effectiveness of the diagnosis of malignant neoplasms of the skin remains unsatisfactory due to the complex process of interpretation of clinical features. On the other hand, in the last two decades, noninvasive optical diagnostic methods have been actively developed, for example, digital dermatoscopy for visualization of surface neoplasms and Optical Coherence Tomography (OCT) for obtaining spatial scans. Recent advances in the study of non-invasive diagnostic tools makes this area very promising for research in a clinical condition. Aim. Developing of software modules based on the mathematical framework of texture analysis for biomedical data systems designed for the diagnosis of skin malignant neoplasms. Materials and methods. Algorithms of software modules developed for optical systems of our own design are presented. Algorithms for a dermatoscopic module are based on the Haar transform, Local Binary Patterns and color features. Algorithms for OCT are based on the texture features of Haralick, Tamura, fractal dimension, complex directional field and Markov random field. Studies were conducted on sets of 106 dermatoscopic and 1008 OCT images of various classes of pathologies, including melanoma and Basal Cell Carcinoma (BCC). Results. The values of sensitivity and specificity for the dermatoscopic system and OCT were experimentally obtained. Conclusion. The sensitivity of the dermatoscopic system is 90 % versus 93 % for other authors, as well as the specificity is 86 % versus 80 %. One of the factors of the increase can be considered the introduction of a personalized mode - the addition of comparative features evaluating a difference between a tumor and a normal tissue in the software analysis module. The improved accuracy of OCT is up to 97 % for the diagnosis of melanoma and up to 96 % for the diagnosis of BCC.

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