Алгоритмы сегментации патологических – вследствие диабета – изменений сетчатки методом машинного обучения; Перспективы развития фундаментальных наук; Т. 3 : Математика

Алгоритмы сегментации патологических – вследствие диабета – изменений сетчатки методом машинного обучения

Bibliografske podrobnosti
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
Glavni avtor:	Лушников В. А.
Drugi avtorji:	Филиппова Е. О. Екатерина Олеговна (научный руководитель)
Izvleček:	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
Jezik:	ruščina
Izdano:	2025
Teme:	труды учёных ТПУ электронный ресурс diabetic retinopathy mitochondrial respiration machine learning segmentation
Online dostop:	http://earchive.tpu.ru/handle/11683/133112
Format:	Elektronski Book Chapter
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=682744

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