Алгоритмы сегментации патологических – вследствие диабета – изменений сетчатки методом машинного обучения
| Parent link: | Перспективы развития фундаментальных наук=Prospects of Fundamental Sciences Development: сборник научных трудов XХII Международной конференции студентов, аспирантов и молодых ученых, г. Томск, 22-25 апреля 2025/ Национальный исследовательский Томский политехнический университет ; под ред. И. А. Курзиной [и др.].— .— Томск: Изд-во ТПУ Т. 3 : Математика.— 2025.— С. 82-84 |
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| Summary: | Заглавие с экрана The aim of the work is to develop algorithms for segmentation of pathological – due to diabetes – changes in the retina using machine learning. As a result of the study, a trained neural network was obtained that allows segmentation of fundus images with some accuracy. The accuracy of the determination is sufficient to verify pathological processes of the retina with diabetic retinopathy Текстовый файл |
| Language: | Russian |
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2025
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| Online Access: | http://earchive.tpu.ru/handle/11683/133112 |
| Format: | Electronic Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=682744 |
| Summary: | Заглавие с экрана The aim of the work is to develop algorithms for segmentation of pathological – due to diabetes – changes in the retina using machine learning. As a result of the study, a trained neural network was obtained that allows segmentation of fundus images with some accuracy. The accuracy of the determination is sufficient to verify pathological processes of the retina with diabetic retinopathy Текстовый файл |
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