DC Field | Value | Language |
dc.contributor.author | Shchetinin, E. Yu. | - |
dc.contributor.author | Tiutiunnik, A. A. | - |
dc.date.accessioned | 2025-04-21T12:12:43Z | - |
dc.date.available | 2025-04-21T12:12:43Z | - |
dc.date.issued | 2025 | - |
dc.identifier.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. | ru |
dc.identifier.uri | http://dspace.bsu.edu.ru/handle/123456789/64901 | - |
dc.description.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 | ru |
dc.language.iso | en | ru |
dc.subject | medicine | ru |
dc.subject | medical informatics | ru |
dc.subject | clinical cardiology | ru |
dc.subject | deep learning | ru |
dc.subject | coronary artery stenosis | ru |
dc.subject | neural networks | ru |
dc.subject | X-ray coronary angiography | ru |
dc.title | Coronary artery stenosis detection based on deep learning models | ru |
dc.type | Article | ru |
Appears in Collections: | Т. 10, № 1
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