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 | 
| File | Description | Size | Format | |
|---|---|---|---|---|
| Shchetinin_Coronary_25.pdf | 547.3 kB | Adobe PDF | View/Open | 
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