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Please use this identifier to cite or link to this item: http://dspace.bsuedu.ru/handle/123456789/64901
Title: Coronary artery stenosis detection based on deep learning models
Authors: Shchetinin, E. Yu.
Tiutiunnik, A. A.
Keywords: medicine
medical informatics
clinical cardiology
deep learning
coronary artery stenosis
neural networks
X-ray coronary angiography
Issue Date: 2025
Citation: Shchetinin, E.Yu. Coronary artery stenosis detection based on deep learning models / Shchetinin E.Yu., A.A. Tiutiunnik ; RUDN University, Moscow // Научный результат. Сер. Информационные технологии. - 2025. - Т.10, №1.-С. 58-65. - Doi: 10.18413/2518-1092-2025-10-1-0-6.
Abstract: This article discusses popular deep learning-based stenosis detection models. The models differed in their basic neural network architecture and were pre-trained on publicly available data. A comparative analysis of the models is presented based on the main performance indicators: average accuracy (mAP), image processing time, and the number of model parameters
URI: http://dspace.bsu.edu.ru/handle/123456789/64901
Appears in Collections:Т. 10, № 1

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