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DEVELOPMENT OF THE ARCHITECTURE OF AN AUTOMATED SYSTEM FOR CLASSIFICATION OF EMBRYO QUALITY BASED ON MACHINE LEARNING METHODS

Authors

Name Affiliation
Айжан Сыдыкова Восточно-Казахстанский технический университет им. Д.Серикбаева
Temirlan Baisalhanov D.Serikbayev named East Kazakhstan Technical University
Saule Kumargazhanova D.Serikbayev named East Kazakhstan Technical University
Tlebaldinova Aizhan D.Serikbayev named East Kazakhstan Technical University
Saule Smailova D. Serikbayev East Kazakhstan Technical University

Published:

2025-12-22

Article language:

Kazakh

Views:

148

Keywords:

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.

Author Biography

Saule Kumargazhanova

Candidate of Technical Sciences, Professor

ORCID: 0000-0002-6744-4023

Email: [email protected]

Сыдыкова, А., Baisalhanov, T., Kumargazhanova, S., Aizhan, T., & Smailova, S. (2025). DEVELOPMENT OF THE ARCHITECTURE OF AN AUTOMATED SYSTEM FOR CLASSIFICATION OF EMBRYO QUALITY BASED ON MACHINE LEARNING METHODS. D. Serikbayev EKTU Bulletin, (4). Retrieved from https://journals.ektu.kz/vestnik/article/view/1390

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