CORONARY ARTERY STENOSIS DETECTION BASED ON DEEP LEARNING MODELS
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
Authors
- Eugene Yu. Shchetinin (ORCID: https://orcid.org/0000-0003-3651-7629)
- A.A. Tiutiunnik
Publication Details
- Journal
- Research Result Information Technologies
- Published
- 2025-01-01
- DOI
- https://doi.org/10.18413/2518-1092-2025-10-1-0-6
- Primary Topic
- Cardiac Imaging and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00