High-performance information technology for processing large datasets and biomedical images to improve the accuracy of computer-aided decision support systems

Oleksandr Poplavskyi; Sergiy Pavlov; Valerii Denysiuk; Svitlana Belinska; Iryna Shvarts; Olga Akimova; Oleksandr Kornilenko; Marta Tarczyńska; Krzysztof Gawęda; Ainur Kozbakova; Andrzej Smolarz

doi:10.1117/12.3057444

16 December 2024 High-performance information technology for processing large datasets and biomedical images to improve the accuracy of computer-aided decision support systems

Oleksandr Poplavskyi, Sergiy Pavlov, Valerii Denysiuk, Svitlana Belinska, Iryna Shvarts, Olga Akimova, Oleksandr Kornilenko, Marta Tarczyńska, Krzysztof Gawęda, Ainur Kozbakova, Andrzej Smolarz

Author Affiliations +

Proceedings Volume 13400, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2024; 134000E (2024) https://doi.org/10.1117/12.3057444
Event: Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2024, 2024, Lublin, Poland

Abstract

Modern biomedical engineering is characterized by the rapid growth of data volumes that require processing and analysis to support clinical decision-making. Information technology plays a key role in ensuring the high-performance processing of these large datasets, contributing to the increased accuracy and speed of clinical diagnoses, as well as more effective subsequent patient treatment. This article aims to review current approaches and technologies used for biomedical data processing and to rethink the approach to using big data in decision support systems. Special attention is given to machine learning methods that enhance data analysis efficiency. The data processing approach proposed in this article allows for an 10-12% increase in the accuracy of spinal pathology classification, confirming its feasibility in medical practice.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Oleksandr Poplavskyi, Sergiy Pavlov, Valerii Denysiuk, Svitlana Belinska, Iryna Shvarts, Olga Akimova, Oleksandr Kornilenko, Marta Tarczyńska, Krzysztof Gawęda, Ainur Kozbakova, and Andrzej Smolarz "High-performance information technology for processing large datasets and biomedical images to improve the accuracy of computer-aided decision support systems", Proc. SPIE 13400, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2024, 134000E (16 December 2024); https://doi.org/10.1117/12.3057444

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KEYWORDS

Data modeling

Neural networks

Image processing

Convolutional neural networks

Data processing

Image classification

Deep learning

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