Обработка и сегментация снимков глазного дна с использованием сверточных нейронных сетей; Перспективы развития фундаментальных наук; Т. 3 : Математика
| Parent link: | Перспективы развития фундаментальных наук=Prospects of Fundamental Sciences Development: сборник научных трудов XXI Международной конференции студентов, аспирантов и молодых ученых, г. Томск, 23-26 апреля 2024 г./ Национальный исследовательский Томский политехнический университет ; под ред. И. А. Курзиной [и др.].— .— Томск: Изд-во ТПУ Т. 3 : Математика.— 2024.— С. 66-68 |
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| Summary: | Заглавие с экрана The purpose of the study is the processing and segmentation of fundus images with different stages of diabetic retinopathy using convolutional neural networks. As a result, a trained neural network was obtained that allows segmenting fundus images with some accuracy. The accuracy of the determination is sufficient to verify the pathological processes of the retina with diabetic retinopathy. Текстовый файл |
| Language: | Russian |
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2024
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| Online Access: | https://earchive.tpu.ru/handle/11683/80502 |
| Format: | Electronic Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=674774 |
| Summary: | Заглавие с экрана The purpose of the study is the processing and segmentation of fundus images with different stages of diabetic retinopathy using convolutional neural networks. As a result, a trained neural network was obtained that allows segmenting fundus images with some accuracy. The accuracy of the determination is sufficient to verify the pathological processes of the retina with diabetic retinopathy. Текстовый файл |
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