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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">bioph</journal-id><journal-title-group><journal-title xml:lang="ru">Biomedical Photonics</journal-title><trans-title-group xml:lang="en"><trans-title>Biomedical Photonics</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2413-9432</issn><publisher><publisher-name>Non-profit partnership for development of domestic photodynamic therapy and photodiagnosis</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.24931/2413-9432-2018-7-1-28-31</article-id><article-id custom-type="elpub" pub-id-type="custom">bioph-216</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ОРИГИНАЛЬНЫЕ СТАТЬИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ORIGINAL ARTICLES</subject></subj-group></article-categories><title-group><article-title>ОПЕРАТИВНЫЙ АНАЛИЗ СЛОЖНЫХ МЕДИЦИНСКИХ СОСТОЯНИЙ МЕТОДАМИ ФОТОНИКИ</article-title><trans-title-group xml:lang="en"><trans-title>OPERATIONAL ANALYSIS OF COMPLEX MEDICAL STATES BY PHOTONICS METHODS</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Ларкин</surname><given-names>А. И.</given-names></name><name name-style="western" xml:lang="en"><surname>Larkin</surname><given-names>A. I.</given-names></name></name-alternatives><bio xml:lang="ru"/><bio xml:lang="en"/><email xlink:type="simple">alexlarkin16@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Труханов</surname><given-names>K. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Trukhanov</surname><given-names>K. A.</given-names></name></name-alternatives><bio xml:lang="ru"/><bio xml:lang="en"/><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Национальный исследовательский ядерный университет МИФИ<country>Россия</country></aff><aff xml:lang="en">National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)<country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru">Институт медико-биологических проблем РАН<country>Россия</country></aff><aff xml:lang="en">Institute of Biomedical Problems of the Russian Academy of Sciences<country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2018</year></pub-date><pub-date pub-type="epub"><day>20</day><month>04</month><year>2018</year></pub-date><volume>7</volume><issue>1</issue><fpage>28</fpage><lpage>31</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Ларкин А.И., Труханов K.А., 2018</copyright-statement><copyright-year>2018</copyright-year><copyright-holder xml:lang="ru">Ларкин А.И., Труханов K.А.</copyright-holder><copyright-holder xml:lang="en">Larkin A.I., Trukhanov K.A.</copyright-holder><license license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.pdt-journal.com/jour/article/view/216">https://www.pdt-journal.com/jour/article/view/216</self-uri><abstract><p>В работе анализируются возможности специальных методов и оборудования когерентной фотоники при работе с многопараметрической информацией. Обратное парафазное кодирование и оперативный анализ многопараметрической информации позволяют реализовать ряд вероятностных алгоритмов. Обосновывается возможность и целесообразность реализации методами фотоники не только корреляционного алгоритма, лежащего в основе голографического распознавания образов, но и универсальных статистических алгоритмов. Проводится сравнительный анализ фотонных систем медицинской диагностики, работающих по широкому классу алгоритмов: поиск прецедента, диагностика соответствия, детерминистская диагностика, алгоритм Байеса. Приводятся экспериментальные результаты по постановке медицинского диагноза и прогнозированию сложных состояний с помощью методов и средств цифровой фотоники. Существенно, что при расширении диапазона вероятностных алгоритмов удается сохранить известные достоинства голографического метода: многомерность, оперативность, рекордно высокую информационную емкость и быстродействие, наглядность и гибкость представления результата. Описанные методы приобретают особую актуальность в связи с появлением первых образцов фотонных процессоров.</p><p> </p></abstract><trans-abstract xml:lang="en"><p>In this paper we analyze the possibility of using special methods and equipment of coherent photonics when working with multi-parameter information. Inverse two-phase coding and operational analysis of multi-parameter data can realize a number of probabilistic algorithms. The possibility and expediency of realization of not only the correlation algorithm underlying the holographic image recognition but also universal statistical algorithms using photonics methods is substantiated. A comparative analysis of photonic medical diagnostic systems running on a wide range of algorithms: search for precedent, correspondence diagnostics, deterministic diagnostics, Bayes algorithm. The results of experimental studies of medical diagnosis and the prediction of complex conditions is presented. Such an analysis is carried out by the means of vector-matrix multiplication using laser photonics methods. It is significant that with the widening of the range of probability algorithms, it is possible to preserve certain advantages of the holographic method: multidimensionality, efficiency, high information capacity and speed, visibility and flexibility of the result presentation. The methods described are of particular relevance in connection with the first photonic processors.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>лазерная фотоника</kwd><kwd>голография</kwd><kwd>корреляция</kwd><kwd>когерентность</kwd><kwd>оптический компьютинг</kwd><kwd>фотонный процессор</kwd></kwd-group><kwd-group xml:lang="en"><kwd>laser photonics</kwd><kwd>holography</kwd><kwd>correlation</kwd><kwd>coherence</kwd><kwd>optical computing</kwd><kwd>photonic processor</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Antonov V.A., Grosmann M.H., Larkin A.I., et al. Medicine Application of Laser Holography and Speckle Interferometry / Computational vision and medical image processing – VIPIMAGE 2011. – Algarve: CRC Press, 2011. – P. 12-14.</mixed-citation><mixed-citation xml:lang="en">Antonov V.A., Grosmann M.H., Larkin A.I., Osintsev A.V., Schepinov V.P. 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