DEVELOPMENT OF THE ARCHITECTURE OF AN AUTOMATED SYSTEM FOR CLASSIFICATION OF EMBRYO QUALITY BASED ON MACHINE LEARNING METHODS
Published:
2025-12-22Section:
Information and communication technologiesArticle language:
KazakhKeywords:
Автоматтандырылған жүйе архитектурасы, модульдік архитектура, эмбриондарды жіктеу, жасанды интеллект, машиналық оқыту, репродуктивті медицина, эмбрион.Abstract
This paper develops the architecture of an automated system for classifying embryos by quality. The system is based on computer vision methods and pretrained neural networks, ensuring the objectivity and reproducibility of analysis. The proposed architecture includes a user interface, an application-level data processing layer, a classification module, and a results repository, ensuring a consistent image processing flow from upload to final quality assessment. The developed structure is focused on modularity, scalability, and the ability to integrate with clinical information systems. The presented architecture can serve as the basis for the development of intelligent decision support tools in embryology.
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