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https://elib.bsu.by/handle/123456789/288042| Заглавие документа: | Combined algorithm for bone age determination based on hand x-rays analysis |
| Авторы: | Kosik, I.I. Nedzved, A.M. Karapetsian, R.M. |
| Тема: | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика ЭБ БГУ::ТЕХНИЧЕСКИЕ И ПРИКЛАДНЫЕ НАУКИ. ОТРАСЛИ ЭКОНОМИКИ::Медицина и здравоохранение ЭБ БГУ::ТЕХНИЧЕСКИЕ И ПРИКЛАДНЫЕ НАУКИ. ОТРАСЛИ ЭКОНОМИКИ::Электроника. Радиотехника |
| Дата публикации: | 2020 |
| Издатель: | The Belarusian State University |
| Библиографическое описание источника: | Z Beloruss Gos Univ , Mat Inform 2020;2020(2):105-114. |
| Аннотация: | In this paper, we investigate the urgent problem associated with bone age determination using hand X-rays. A combined algorithm for the recognition of radiographs is proposed, which uses simultaneous two neural network models, based on Xception and DenseNet169. The method allows to generalize the knowledge of different medical experts and increases the accuracy of bone age prediction in genera |
| URI документа: | https://elib.bsu.by/handle/123456789/288042 |
| DOI документа: | 10.33581/2520-6508-2020-2-105-114 |
| Scopus идентификатор документа: | 85091485142 |
| Финансовая поддержка: | In this paper, we investigate the urgent problem associated with bone age determination using hand X-rays. A combined algorithm for the recognition of radiographs is proposed, which uses simultaneous two neural network models, based on Xception and DenseNet169. The method allows to generalize the knowledge of different medical experts and increases the accuracy of bone age prediction in general. Keywords: bone age; X-ray; radiograph; image processing; activation map; convolutional neural network; automation of diagnostics. Acknowledgements. This research was partially supported by the project of the Belarusian Republican Foundation for Fundamental Research and Russian Foundation for Basic Research F20R-134 «Development and research of descriptive methods for analyzing dynamic images to automatisation diagnostic procedures» and project of the State Committee on Science and Technology of the Republic of Belarus and Ministry of Science and Technology of the People’s Republic of China F20KITG-006 «Motion analysis of biological objects in video-sequence obtained by high-resolution microscope». This research was partially supported by the project of the Belarusian Republican Foundation for Fundamental Research and Russian Foundation for Basic Research F20R-134 ?Development and research of descriptive methods for analyzing dynamic images to automatisation diagnostic procedures? and project of the State Committee on Science and Technology of the Republic of Belarus and Ministry of Science and Technology of the People?s Republic of China F20KITG-006 ?Motion analysis of biological objects in video-sequence obtained by high-resolution microscope?. |
| Лицензия: | info:eu-repo/semantics/openAccess |
| Располагается в коллекциях: | Статьи факультета прикладной математики и информатики |
Полный текст документа:
| Файл | Описание | Размер | Формат | |
|---|---|---|---|---|
| 2972-Текст статьи-25787-1-10-20200730.pdf | 781,26 kB | Adobe PDF | Открыть |
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