{"id":2461,"date":"2025-06-22T13:39:45","date_gmt":"2025-06-22T12:39:45","guid":{"rendered":"http:\/\/newskbncran.ru\/?page_id=2461"},"modified":"2026-04-13T10:39:28","modified_gmt":"2026-04-13T09:39:28","slug":"27-2-7","status":"publish","type":"page","link":"https:\/\/izvestiyakbncran.ru\/index.php\/27-2-7\/","title":{"rendered":"27.2.7"},"content":{"rendered":"\n<h1 class=\"wp-block-heading has-lora-font-family\" style=\"font-size:24px\"><strong>\u041c\u043e\u0434\u0435\u043b\u0438 \u0438 \u043c\u0435\u0442\u043e\u0434\u044b \u0433\u043b\u0443\u0431\u043e\u043a\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0432 \u0437\u0430\u0434\u0430\u0447\u0430\u0445 \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u044f \u0438 \u043a\u043b\u0430\u0441\u0441\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u0438 \u043c\u0435\u0434\u0438\u0446\u0438\u043d\u0441\u043a\u0438\u0445 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439<\/strong><\/h1>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-small-font-size wp-elements-1ce42f1e9e4f125051da2317b1782634\" style=\"margin-top:0;margin-bottom:0;padding-top:0;padding-bottom:0\"><strong><strong><strong><strong>\u0418.&nbsp;\u0410. \u041f\u0448\u0435\u043d\u043e\u043a\u043e\u0432\u0430, \u041c.&nbsp;\u0420. \u041a\u0438\u044f\u0441\u043e\u0432<\/strong><\/strong><\/strong><\/strong><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-wide\" style=\"margin-top:var(--wp--preset--spacing--20);margin-bottom:var(--wp--preset--spacing--20)\"\/>\n\n\n\n<div class=\"wp-block-group is-nowrap is-layout-flex wp-container-core-group-is-layout-24a27e19 wp-block-group-is-layout-flex\" style=\"margin-top:0;margin-bottom:0;padding-top:0;padding-bottom:0\">\n<p class=\"has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-9f3c3253df43e3976d939c0040b8a252\" style=\"color:#5b1919;text-decoration:underline\"><strong>\u0417\u0430\u0433\u0440\u0443\u0437\u0438\u0442\u044c \u043f\u043e\u043b\u043d\u044b\u0439 \u0442\u0435\u043a\u0441\u0442<\/strong><\/p>\n\n\n\n<div class=\"wp-block-group is-vertical is-layout-flex wp-container-core-group-is-layout-9151b400 wp-block-group-is-layout-flex\" style=\"min-height:0px;margin-top:0;margin-bottom:0;padding-top:0;padding-bottom:0\">\n<div class=\"wp-block-buttons is-content-justification-left is-layout-flex wp-container-core-buttons-is-layout-15bf754d wp-block-buttons-is-layout-flex\" style=\"margin-top:0;margin-bottom:0;padding-top:0;padding-right:0;padding-bottom:0;padding-left:0\">\n<div class=\"wp-block-button has-custom-width wp-block-button__width-100 is-style-outline is-style-outline--1\"><a class=\"wp-block-button__link has-background-background-color has-text-color has-background has-link-color has-border-color has-small-font-size has-custom-font-size wp-element-button\" href=\"http:\/\/izvestiyakbncran.ru\/wp-content\/uploads\/2025\/06\/pshenokova-kiyasov-7.pdf\" style=\"border-color:#5b1919;border-style:solid;border-width:2px;border-radius:8px;color:#5b1919;padding-top:0.4rem;padding-right:var(--wp--preset--spacing--40);padding-bottom:0.4rem;padding-left:var(--wp--preset--spacing--40)\">PDF<\/a><\/div>\n<\/div>\n\n\n\n<div style=\"height:0px;width:0px\" aria-hidden=\"true\" class=\"wp-block-spacer wp-container-content-273e683f\"><\/div>\n<\/div>\n<\/div>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-895a61465fa5cd0e43890526e1cfb9ba\" style=\"line-height:1.4\"><em><strong>\u0410\u043d\u043d\u043e\u0442\u0430\u0446\u0438\u044f.<\/strong> <\/em>\u0412 \u0440\u0430\u0431\u043e\u0442\u0435 \u043f\u0440\u043e\u0432\u0435\u0434\u0435\u043d\u044b \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u0435 \u0438 \u0430\u043d\u0430\u043b\u0438\u0437 \u043c\u043e\u0434\u0435\u043b\u0435\u0439 \u0438 \u043c\u0435\u0442\u043e\u0434\u043e\u0432 \u0433\u043b\u0443\u0431\u043e\u043a\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0432 \u0437\u0430\u0434\u0430\u0447\u0430\u0445 \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u044f \u0438 \u043a\u043b\u0430\u0441\u0441\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u0438 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439 \u043e\u043f\u0443\u0445\u043e\u043b\u0435\u0439 \u043c\u043e\u0437\u0433\u0430. \u0414\u043b\u044f \u0441\u0440\u0430\u0432\u043d\u0435\u043d\u0438\u044f \u044d\u0444\u0444\u0435\u043a\u0442\u0438\u0432\u043d\u043e\u0441\u0442\u0438 \u043d\u0430\u0438\u0431\u043e\u043b\u0435\u0435 \u0430\u043a\u0442\u0443\u0430\u043b\u044c\u043d\u044b\u0445 \u0438 \u0434\u043e\u0441\u0442\u0443\u043f\u043d\u044b\u0445 \u043c\u043e\u0434\u0435\u043b\u0435\u0439 \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 \u0441\u0432\u0435\u0440\u0442\u043e\u0447\u043d\u044b\u0445 \u043d\u0435\u0439\u0440\u043e\u043d\u043d\u044b\u0445 \u0441\u0435\u0442\u0435\u0439 \u0431\u044b\u043b\u0438 \u0432\u044b\u0431\u0440\u0430\u043d\u044b \u043c\u043e\u0434\u0435\u043b\u0438 VGG19, Xception \u0438 ResNet152. \u041d\u0430\u0438\u043b\u0443\u0447\u0448\u0438\u0435 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b \u043f\u043e\u043a\u0430\u0437\u0430\u043b\u0430 \u043c\u043e\u0434\u0435\u043b\u044c Xception. \u0426\u0435\u043b\u044c\u044e \u0434\u0430\u043d\u043d\u043e\u0439 \u0440\u0430\u0431\u043e\u0442\u044b \u044f\u0432\u043b\u044f\u044e\u0442\u0441\u044f \u043e\u043f\u0442\u0438\u043c\u0438\u0437\u0430\u0446\u0438\u044f \u0438 \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u0435 \u0432\u044b\u0431\u0440\u0430\u043d\u043d\u043e\u0439 \u043c\u043e\u0434\u0435\u043b\u0438 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445 \u043c\u0435\u0442\u043e\u0434\u043e\u0432 \u0434\u043b\u044f \u043f\u043e\u0432\u044b\u0448\u0435\u043d\u0438\u044f \u0442\u043e\u0447\u043d\u043e\u0441\u0442\u0438 \u0434\u0438\u0430\u0433\u043d\u043e\u0441\u0442\u0438\u043a\u0438 \u043e\u043f\u0443\u0445\u043e\u043b\u0435\u0439 \u0433\u043e\u043b\u043e\u0432\u043d\u043e\u0433\u043e \u043c\u043e\u0437\u0433\u0430 \u0447\u0435\u043b\u043e\u0432\u0435\u043a\u0430. \u041f\u0440\u0435\u0434\u043b\u043e\u0436\u0435\u043d\u0430 \u0438 \u0440\u0435\u0430\u043b\u0438\u0437\u043e\u0432\u0430\u043d\u0430 \u0441\u0442\u0440\u0430\u0442\u0435\u0433\u0438\u044f \u0434\u043b\u044f \u0443\u043b\u0443\u0447\u0448\u0435\u043d\u0438\u044f \u044d\u0442\u043e\u0439 \u043c\u043e\u0434\u0435\u043b\u0438 \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u043c\u0435\u0442\u043e\u0434\u043e\u0432 \u043f\u0435\u0440\u0435\u043d\u043e\u0441\u0430 \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0438 \u0430\u0443\u0433\u043c\u0435\u043d\u0442\u0430\u0446\u0438\u0438 \u0434\u0430\u043d\u043d\u044b\u0445. \u0418\u0437 \u043f\u0440\u043e\u0432\u0435\u0434\u0435\u043d\u043d\u044b\u0445 \u0442\u0435\u0441\u0442\u043e\u0432 \u0441\u043b\u0435\u0434\u0443\u0435\u0442, \u0447\u0442\u043e \u0443\u043b\u0443\u0447\u0448\u0435\u043d\u043d\u0430\u044f \u043c\u043e\u0434\u0435\u043b\u044c \u0434\u0435\u043c\u043e\u043d\u0441\u0442\u0440\u0438\u0440\u0443\u0435\u0442 \u0431\u043e\u043b\u0435\u0435 \u0432\u044b\u0441\u043e\u043a\u0443\u044e \u0442\u043e\u0447\u043d\u043e\u0441\u0442\u044c \u0438 \u0443\u0441\u0442\u043e\u0439\u0447\u0438\u0432\u043e\u0441\u0442\u044c \u043a \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u043c \u0432\u0438\u0434\u0430\u043c \u0438\u0441\u043a\u0430\u0436\u0435\u043d\u0438\u0439 \u0434\u0430\u043d\u043d\u044b\u0445, \u0447\u0442\u043e \u0434\u0435\u043b\u0430\u0435\u0442 \u0435\u0435 \u0431\u043e\u043b\u0435\u0435 \u044d\u0444\u0444\u0435\u043a\u0442\u0438\u0432\u043d\u043e\u0439 \u0434\u043b\u044f \u0437\u0430\u0434\u0430\u0447 \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u044f \u0438 \u043a\u043b\u0430\u0441\u0441\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u0438 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439<\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-ad0f6960355f11ff40e58c6223c35cfe\" style=\"line-height:1.4\"><em><strong>\u041a\u043b\u044e\u0447\u0435\u0432\u044b\u0435 \u0441\u043b\u043e\u0432\u0430:<\/strong> <\/em>\u043c\u0435\u0442\u043e\u0434\u044b \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u044f \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439, \u043c\u0435\u0442\u043e\u0434\u044b \u0433\u043b\u0443\u0431\u043e\u043a\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f, \u0441\u0432\u0435\u0440\u0442\u043e\u0447\u043d\u044b\u0435 \u043d\u0435\u0439\u0440\u043e\u043d\u043d\u044b\u0435 \u0441\u0435\u0442\u0438, \u043c\u0435\u0442\u043e\u0434\u044b \u043f\u0435\u0440\u0435\u043d\u043e\u0441\u0430 \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f<\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family wp-elements-a6ae0855425fe616f903255f8f52df13\" style=\"font-size:12px;line-height:1.4\"><strong>\u0414\u043b\u044f \u0446\u0438\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f.<\/strong> \u041f\u0448\u0435\u043d\u043e\u043a\u043e\u0432\u0430 \u0418.&nbsp;\u0410., \u041a\u0438\u044f\u0441\u043e\u0432 \u041c.&nbsp;\u0420. \u041c\u043e\u0434\u0435\u043b\u0438 \u0438 \u043c\u0435\u0442\u043e\u0434\u044b \u0433\u043b\u0443\u0431\u043e\u043a\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0432 \u0437\u0430\u0434\u0430\u0447\u0430\u0445 \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u044f \u0438 \u043a\u043b\u0430\u0441\u0441\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u0438 \u043c\u0435\u0434\u0438\u0446\u0438\u043d\u0441\u043a\u0438\u0445 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439 \/\/ \u0418\u0437\u0432\u0435\u0441\u0442\u0438\u044f \u041a\u0430\u0431\u0430\u0440\u0434\u0438\u043d\u043e-\u0411\u0430\u043b\u043a\u0430\u0440\u0441\u043a\u043e\u0433\u043e \u043d\u0430\u0443\u0447\u043d\u043e\u0433\u043e \u0446\u0435\u043d\u0442\u0440\u0430 \u0420\u0410\u041d. 2025. \u0422. 27. \u2116 2. \u0421. 103\u2013112. DOI: 10.35330\/1991-6639-2025-27-2-103-112<\/p>\n\n\n\n<details class=\"wp-block-details has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-78b1a582087cbcdb8543abc4ef12b3d5 is-layout-flow wp-container-core-details-is-layout-0ab540ad wp-block-details-is-layout-flow\" style=\"font-style:normal;font-weight:700;line-height:1.5\"><summary>\u0421\u043f\u0438\u0441\u043e\u043a \u043b\u0438\u0442\u0435\u0440\u0430\u0442\u0443\u0440\u044b<\/summary>\n<ol style=\"margin-top:0;margin-bottom:0\" class=\"wp-block-list\">\n<li style=\"font-style:normal;font-weight:400;line-height:1.5\">Bishop C.M. Pattern recognition and machine learning (Information Science and Statistics). Springer. New York. 2007. ISBN: 0-387-31073-8<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Li Z. et al. A survey of convolutional neural networks: analysis, applications, and prospects. <em>IEEE transactions on neural networks and learning systems.<\/em> 2021. Vol. 33. No. 12. Pp. 6999\u20137019. DOI: 10.1109\/TNNLS.2021.3084827<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Byra M. et al. Breast mass classification in sonography with transfer learning using a deep convolutional neural network and color conversion. <em>Medical physics.<\/em> 2019. Vol. 46. No. 2. Pp. 746\u2013755. &nbsp;DOI: 10.1002\/mp.13361<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Horiuchi Y. et al. Convolutional neural network for differentiating gastric cancer from gastritis using magnified endoscopy with narrow band imaging. <em>Digestive diseases and sciences.<\/em> 2020. Vol. 65. Pp. 1355\u20131363. <a href=\"https:\/\/doi.org\/10.1007\/s10620-019-05862-6\">&nbsp;DOI: 10.100<\/a>7\/s10620-019-05862-6<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Wang J. et al. Integral real-time locomotion mode recognition based on GA-CNN for lower limb exoskeleton. <em>Journal of Bionic Engineering.<\/em> 2022. Vol. 19. No. 5. Pp. 1359\u20131373. DOI: 10.1007\/s42235-022-00230-z<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Bhandari D., Paul S., Narayan A. Deep neural networks for multimodal data fusion and affect recognition. <em>International Journal of Artificial Intelligence and Soft Computing.<\/em> 2020. Vol. 7. No. 2. Pp. 130\u2013145. &nbsp;DOI: 10.1504\/IJAISC.2020.113475<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Srivastava A., Singh A., Tiwari A. K. An efficient hybrid approach for the prediction of epilepsy using CNN with LSTM. <em>International Journal of Artificial Intelligence and Soft Computing.<\/em> 2022. Vol. 7. No. 3. Pp. 179\u2013193. &nbsp;DOI: 10.1504\/IJAISC.2022.126336<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Khan H.A. et al. Brain tumor classification in MRI image using convolutional neural network. <em>Mathematical Biosciences and Engineering.<\/em> 2021. Vol. 17. No. 5. Pp. 6203\u20136216. DOI: 10.3934\/mbe.2020328<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Houssein E.H. et al. Hybrid quantum-classical convolutional neural network model for COVID-19 prediction using chest X-ray images. <em>Journal of Computational Design and Engineering.<\/em> 2022. Vol. 9. No. 2. Pp. 343\u2013363. &nbsp;DOI: 10.1093\/jcde\/qwac003<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\"><em>\u0420\u0430\u0441\u043a\u043e\u043f\u0438\u043d\u0430 \u0410.&nbsp;\u0421., \u0411\u043e\u0436\u0435\u043d\u043a\u043e \u0412.&nbsp;\u0412., \u0422\u0430\u0442\u0430\u0440\u043d\u0438\u043a\u043e\u0432\u0430 \u0422.&nbsp;\u041c.<\/em> \u0418\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u0433\u043b\u0443\u0431\u043e\u043a\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u043f\u0440\u0438 \u0434\u0438\u0430\u0433\u043d\u043e\u0441\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0438 \u043f\u043d\u0435\u0432\u043c\u043e\u043d\u0438\u0438 \u043f\u043e \u0440\u0435\u043d\u0442\u0433\u0435\u043d\u043e\u0432\u0441\u043a\u0438\u043c \u0441\u043d\u0438\u043c\u043a\u0430\u043c. \u0418\u0437\u0432\u0435\u0441\u0442\u0438\u044f \u0432\u044b\u0441\u0448\u0438\u0445 \u0443\u0447\u0435\u0431\u043d\u044b\u0445 \u0437\u0430\u0432\u0435\u0434\u0435\u043d\u0438\u0439. \u041f\u0440\u0438\u0431\u043e\u0440\u043e\u0441\u0442\u0440\u043e\u0435\u043d\u0438\u0435. 2024. \u0422. 67. \u2116 4. \u0421. 315\u2013320. &nbsp;DOI: 10.17586\/0021-3454-2024-67-4-315-320                                    Raskopina A.S., Bozhenko V.V., Tatarnikova T.M. Using deep learning in diagnosing pneumonia from X-ray images. <em>Izvestiya vysshikh uchebnykh zavedeniy. Priborostroyeniye <\/em>[News &nbsp;of &nbsp;higher &nbsp;educational &nbsp;institutions. &nbsp;Instrument &nbsp;engineering]. 2024. Vol. 67. No. 4. Pp. 315\u2013320. DOI: 10.17586\/0021-3454-2024-67-4-315-320. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Wan C. et al. Research on classification algorithm of cerebral small vessel disease based on convolutional neural network. <em>Journal of Intelligent &amp; Fuzzy Systems.<\/em> 2023. Vol. 44. No. 2.&nbsp; Pp. 3107\u20133114.<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Ashtari-Majlan M., Seifi A., Dehshibi M.M. A multi-stream convolutional neural network for classification of progressive MCI in Alzheimer\u2019s disease using structural MRI images. <em>IEEE Journal of Biomedical and Health Informatics. <\/em>2022. Vol. 26. No. 8. Pp. 3918\u20133926. DOI: 10.1109\/JBHI.2022.3155705<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Ekong F. et al. Bayesian depth-wise convolutional neural network design for brain tumor MRI classification. <em>Diagnostics.<\/em> 2022. Vol. 12. No. 7. P. 1657. DOI: 10.3390\/diagnostics12071657<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Apostolopoulos I.D., Aznaouridis S., Tzani M. An attention-based deep convolutional neural network for brain tumor and disorder classification and grading in magnetic resonance imaging. <em>Information.<\/em> 2023. Vol. 14. No. 3. P. 174. &nbsp;DOI: 10.3390\/info14030174<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">&nbsp;Shi Y. et al. Residual convolutional neural network-based stroke classification with electrical impedance tomography. <em>IEEE Transactions on Instrumentation and Measurement.<\/em> 2022. Vol. 71. Pp. 1\u201311. DOI: 10.1109\/TIM.2022.3165786<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\"><em>\u0429\u0435\u0442\u0438\u043d\u0438\u043d \u0415. \u042e., \u0421\u0435\u0432\u0430\u0441\u0442\u044c\u044f\u043d\u043e\u0432 \u041b. \u0410.<\/em> \u041e \u043c\u0435\u0442\u043e\u0434\u0430\u0445 \u043f\u0435\u0440\u0435\u043d\u043e\u0441\u0430 \u0433\u043b\u0443\u0431\u043e\u043a\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0432 \u0437\u0430\u0434\u0430\u0447\u0430\u0445 \u043a\u043b\u0430\u0441\u0441\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u0438 \u0431\u0438\u043e\u043c\u0435\u0434\u0438\u0446\u0438\u043d\u0441\u043a\u0438\u0445 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439 \/\/ \u0418\u043d\u0444\u043e\u0440\u043c\u0430\u0442\u0438\u043a\u0430 \u0438 \u0435\u0435 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f. 2021. \u0422. 15. \u2116 4. \u0421. 59\u201364. DOI:&nbsp;10.14357\/19922264210408. EDN:&nbsp;YQXVAA                                                                                                                Shchetinin E.Yu., Sevastyanov L.A. On deep learning transfer methods in biomedical image classification problems. <em>Informatika i yeyo primeneniya<\/em> [Computer Science and Its Applications]<em>.<\/em> 2021. Vol. 15. No. 4. Pp. 59\u201364. DOI:&nbsp;10.14357\/19922264210408. EDN:&nbsp;YQXVAA (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\"><em>\u0429\u0443\u043a\u0438\u043d\u0430 \u041d.&nbsp;\u0410.<\/em> \u041d\u0435\u0439\u0440\u043e\u0441\u0435\u0442\u0435\u0432\u044b\u0435 \u043c\u043e\u0434\u0435\u043b\u0438 \u0432 \u0437\u0430\u0434\u0430\u0447\u0435 \u043a\u043b\u0430\u0441\u0441\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u0438 \u043c\u0435\u0434\u0438\u0446\u0438\u043d\u0441\u043a\u0438\u0445 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439 \/\/ \u041c\u043e\u0434\u0435\u043b\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435, \u043e\u043f\u0442\u0438\u043c\u0438\u0437\u0430\u0446\u0438\u044f \u0438 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u043e\u043d\u043d\u044b\u0435 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0438. 2021. \u0422. 9. \u2116 4(35). DOI: 10.26102\/2310-6018\/2021.35.4.022. EDN:&nbsp;MXPABV                                                                                                                     Shchukina N.A. Neural network models in the problem of classification of medical images. <em>Modelirovaniye, optimizatsiya i informatsionnyye tekhnologii<\/em> [Modeling, Optimization and Information Technology]. 2021. Vol. 9. No. 4(35). DOI: 10.26102\/2310-6018\/2021.35.4.022. EDN:&nbsp;MXPABV. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Simonyan K., Zisserman A. Very deep convolutional networks for large-scale image recognition. 2014. DOI: 10.48550\/arXiv.1409.1556<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Khan A. et al. A survey of the recent architectures of deep convolutional neural networks. <em>Artificial intelligence review.<\/em> 2020. Vol. 53. Pp. 5455\u20135516.<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">\u041d\u0430\u0431\u043e\u0440 \u0434\u0430\u043d\u043d\u044b\u0445 \u041c\u0420\u0422 \u043e\u043f\u0443\u0445\u043e\u043b\u0438 \u0433\u043e\u043b\u043e\u0432\u043d\u043e\u0433\u043e \u043c\u043e\u0437\u0433\u0430 [\u042d\u043b\u0435\u043a\u0442\u0440\u043e\u043d\u043d\u044b\u0439 \u0440\u0435\u0441\u0443\u0440\u0441].&nbsp;&nbsp;URL: https:\/\/www.kaggle.com\/datasets\/masoudnickparvar\/brain-tumor-mri-dataset                                                                                                                                                                                                                                                                            <em>Nabor dannykh MRT opukholi golovnogo mozga<\/em> [Brain tumor MRI dataset]. [Electronic resource]. URL: https:\/\/www.kaggle.com\/datasets\/masoudnickparvar\/brain-tumor-mri-dataset. (accessed 10.03.2025)<\/li>\n<\/ol>\n<\/details>\n\n\n\n<details class=\"wp-block-details has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-6ef175fb47b3737a52f7df1827a4d937 is-layout-flow wp-container-core-details-is-layout-06b1984b wp-block-details-is-layout-flow\" style=\"margin-top:var(--wp--preset--spacing--40);margin-bottom:var(--wp--preset--spacing--40);font-style:normal;font-weight:700;line-height:1.5\"><summary>\u0418\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044f \u043e\u0431 \u0430\u0432\u0442\u043e\u0440\u0430\u0445<\/summary>\n<div class=\"wp-block-group is-vertical is-layout-flex wp-container-core-group-is-layout-7af8c1eb wp-block-group-is-layout-flex\" style=\"min-height:0px;margin-top:0;margin-bottom:0;padding-top:0;padding-right:var(--wp--preset--spacing--40);padding-bottom:0;padding-left:var(--wp--preset--spacing--40)\">\n<p class=\"has-link-color has-lora-font-family has-extra-small-font-size wp-elements-d3bf04b489b505cb7edc4f90fa3097b2\" style=\"font-style:normal;font-weight:400;line-height:1.5\"><strong>\u041f\u0448\u0435\u043d\u043e\u043a\u043e\u0432\u0430<\/strong><strong> <\/strong><strong>\u0418\u043d\u043d\u0430<\/strong><strong> <\/strong><strong>\u0410\u0443\u0435\u0441\u043e\u0432\u043d\u0430<\/strong>, \u043a\u0430\u043d\u0434. \u0444\u0438\u0437.-\u043c\u0430\u0442. \u043d\u0430\u0443\u043a, \u0437\u0430\u0432. \u043b\u0430\u0431. \u00ab\u0418\u043d\u0442\u0435\u043b\u043b\u0435\u043a\u0442\u0443\u0430\u043b\u044c\u043d\u044b\u0435 \u0441\u0440\u0435\u0434\u044b \u043e\u0431\u0438\u0442\u0430\u043d\u0438\u044f\u00bb, \u0418\u043d\u0441\u0442\u0438\u0442\u0443\u0442 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0442\u0438\u043a\u0438 \u0438 \u043f\u0440\u043e\u0431\u043b\u0435\u043c \u0440\u0435\u0433\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u0443\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u044f \u2013 \u0444\u0438\u043b\u0438\u0430\u043b \u041a\u0430\u0431\u0430\u0440\u0434\u0438\u043d\u043e-\u0411\u0430\u043b\u043a\u0430\u0440\u0441\u043a\u043e\u0433\u043e \u043d\u0430\u0443\u0447\u043d\u043e\u0433\u043e \u0446\u0435\u043d\u0442\u0440\u0430 \u0420\u0410\u041d;<\/p>\n\n\n\n<p style=\"font-style:normal;font-weight:400\">360000, \u0420\u043e\u0441\u0441\u0438\u044f, \u0433. \u041d\u0430\u043b\u044c\u0447\u0438\u043a, \u0443\u043b. \u0418. \u0410\u0440\u043c\u0430\u043d\u0434, 37-\u0430;<\/p>\n\n\n\n<p style=\"font-style:normal;font-weight:400\">\u0434\u043e\u0446\u0435\u043d\u0442 \u043a\u0430\u0444\u0435\u0434\u0440\u044b \u00ab\u041a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u043d\u044b\u0435 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0438 \u0438 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u043e\u043d\u043d\u0430\u044f \u0431\u0435\u0437\u043e\u043f\u0430\u0441\u043d\u043e\u0441\u0442\u044c\u00bb, \u041a\u0430\u0431\u0430\u0440\u0434\u0438\u043d\u043e-\u0411\u0430\u043b\u043a\u0430\u0440\u0441\u043a\u0438\u0439 \u0433\u043e\u0441\u0443\u0434\u0430\u0440\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u0439 \u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442 \u0438\u043c\u0435\u043d\u0438 \u0425. \u041c. \u0411\u0435\u0440\u0431\u0435\u043a\u043e\u0432\u0430;<\/p>\n\n\n\n<p style=\"font-style:normal;font-weight:400\">360004, \u0420\u043e\u0441\u0441\u0438\u044f, \u0433. \u041d\u0430\u043b\u044c\u0447\u0438\u043a, \u0443\u043b. \u0427\u0435\u0440\u043d\u044b\u0448\u0435\u0432\u0441\u043a\u043e\u0433\u043e, 173;<\/p>\n\n\n\n<p style=\"font-style:normal;font-weight:400\">pshenokova_inna@mail.ru, ORCID: https:\/\/orcid.org\/0000-0003-3394-7682, SPIN-\u043a\u043e\u0434: 3535-2963<\/p>\n\n\n\n<p style=\"font-style:normal;font-weight:400\"><strong>\u041a\u0438\u044f\u0441\u043e\u0432 \u041c\u0443\u0440\u0430\u0442 \u0420\u0443\u0441\u043b\u0430\u043d\u043e\u0432\u0438\u0447, <\/strong>\u0441\u0442\u0443\u0434\u0435\u043d\u0442 4-\u0433\u043e \u043a\u0443\u0440\u0441\u0430 \u043d\u0430\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u044f \u00ab\u0418\u043d\u0444\u043e\u0440\u043c\u0430\u0442\u0438\u043a\u0430 \u0438 \u0432\u044b\u0447\u0438\u0441\u043b\u0438\u0442\u0435\u043b\u044c\u043d\u0430\u044f \u0442\u0435\u0445\u043d\u0438\u043a\u0430\u00bb, \u041a\u0430\u0431\u0430\u0440\u0434\u0438\u043d\u043e-\u0411\u0430\u043b\u043a\u0430\u0440\u0441\u043a\u0438\u0439 \u0433\u043e\u0441\u0443\u0434\u0430\u0440\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u0439 \u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442 \u0438\u043c\u0435\u043d\u0438 \u0425. \u041c. \u0411\u0435\u0440\u0431\u0435\u043a\u043e\u0432\u0430;<\/p>\n\n\n\n<p class=\"has-link-color has-lora-font-family has-extra-small-font-size wp-elements-4f6ef95ec152dc644b94853dab26bf21\" style=\"font-style:normal;font-weight:400;line-height:1.5\">360004, \u0420\u043e\u0441\u0441\u0438\u044f, \u0433. \u041d\u0430\u043b\u044c\u0447\u0438\u043a, \u0443\u043b. \u0427\u0435\u0440\u043d\u044b\u0448\u0435\u0432\u0441\u043a\u043e\u0433\u043e, 173; <\/p>\n\n\n\n<p class=\"has-link-color has-lora-font-family has-extra-small-font-size wp-elements-24aaa0d284285c11053051155698246e\" style=\"font-style:normal;font-weight:400;line-height:1.5\">myrat7450@mail.ru<\/p>\n<\/div>\n<\/details>\n","protected":false},"excerpt":{"rendered":"<p>\u041c\u043e\u0434\u0435\u043b\u0438 \u0438 \u043c\u0435\u0442\u043e\u0434\u044b \u0433\u043b\u0443\u0431\u043e\u043a\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0432 \u0437\u0430\u0434\u0430\u0447\u0430\u0445 \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u044f \u0438 \u043a\u043b\u0430\u0441\u0441\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u0438 \u043c\u0435\u0434\u0438\u0446\u0438\u043d\u0441\u043a\u0438\u0445 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439 \u0418.&nbsp;\u0410. 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