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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">zhps</journal-id><journal-title-group><journal-title xml:lang="ru">Журнал прикладной спектроскопии</journal-title><trans-title-group xml:lang="en"><trans-title>Zhurnal Prikladnoii Spektroskopii</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">0514-7506</issn><publisher><publisher-name>B. I. Stepanov Institute of Physics of the National Academy of Sciences</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">zhps-593</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>***</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>***</subject></subj-group></article-categories><title-group><article-title>ОБНАРУЖЕНИЕ ПЕРВИЧНОГО И ВТОРИЧНОГО РАКА С ПОМОЩЬЮ КР СПЕКТРОСКОПИИ И САМОНАСТРАИВАЮЩИХСЯ НЕЙРОННЫХ СЕТЕЙ</article-title><trans-title-group xml:lang="en"><trans-title>DETECTION OF PRIMARY AND SECONDARY CANCERS USING RAMAN SPECTROSCOPY AND SELF-CONSTRUCTING NEURAL NETWORKS</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>Dehghani-Bidgoli</surname><given-names>Z.</given-names></name><name name-style="western" xml:lang="en"><surname>Dehghani-Bidgoli</surname><given-names>Zohreh</given-names></name></name-alternatives><bio xml:lang="ru"><p>Кашан</p></bio><bio xml:lang="en"><p>Department of Biomedical Engineering</p><p>Kashan</p></bio><email xlink:type="simple">dehghani_zohreh@yahoo.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>Khamechian</surname><given-names>T.</given-names></name><name name-style="western" xml:lang="en"><surname>Khamechian</surname><given-names>Tahereh</given-names></name></name-alternatives><bio xml:lang="ru"><p>Кашан</p></bio><bio xml:lang="en"><p>Department of Medical Pathology</p><p>Kashan</p></bio><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Кашанское отделение Исламского университета Азад</institution></aff><aff xml:lang="en"><institution>Islamic Azad University, Kashan Branch</institution></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Кашанский медицинский университет</institution></aff><aff xml:lang="en"><institution>Kashan University of Medical Sciences</institution></aff></aff-alternatives><pub-date pub-type="collection"><year>2019</year></pub-date><pub-date pub-type="epub"><day>21</day><month>03</month><year>2020</year></pub-date><volume>86</volume><issue>3</issue><elocation-id>489(1)-489(5)</elocation-id><permissions><copyright-statement>Copyright &amp;#x00A9; Dehghani-Bidgoli Z., Khamechian T., 2020</copyright-statement><copyright-year>2020</copyright-year><copyright-holder xml:lang="ru">Dehghani-Bidgoli Z., Khamechian T.</copyright-holder><copyright-holder xml:lang="en">Dehghani-Bidgoli Z., Khamechian T.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" 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://zhps.ejournal.by/jour/article/view/593">https://zhps.ejournal.by/jour/article/view/593</self-uri><abstract><p>Предложен метод самонастраивающейся нейронной сети для различения спектров комбинационного рассеяния нормальных тканей и тканей, пораженных первичным и метастатическим (вторичным) раком. Метод имеет практически 100 % точность и может значительно улучшить способность нейронной сети классифицировать спектры комбинационного рассеяния, относящиеся к патологическим состояниям.</p></abstract><trans-abstract xml:lang="en"/><kwd-group xml:lang="ru"><kwd>искусственные нейронные сети</kwd><kwd>спектроскопия комбинационного рассеяния света</kwd><kwd>рак</kwd><kwd>метастазирование</kwd><kwd>лимфатический узел</kwd></kwd-group><kwd-group xml:lang="en"><kwd>artificial neural networks</kwd><kwd>Raman spectroscopy</kwd><kwd>cancer</kwd><kwd>metastasis</kwd><kwd>lymph node</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">I. P. Santos, E. M. Barroso, T. C. Bakker Schut, P. J. Caspers, C. G. F. van Lanschot, D.-H. Choi, M. F. van der Kamp, R. W. H. Smits, R. van Doorn, R. M. Verdijk, V. Noordhoek Hegt, J. H. von der Thüsen, C. H. M. van Deurzen, L. B. Koppert, G. J. L. 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