System programming of a disease identification model based on medical images

Zhengbing Hu; Dmytro Uhryn; Yurii Ushenko; Viktor Korolenko; Vasyl Lytvyn; Victoria Vysotska

doi:10.1117/12.3009245

5 January 2024 System programming of a disease identification model based on medical images

Zhengbing Hu, Dmytro Uhryn, Yurii Ushenko, Viktor Korolenko, Vasyl Lytvyn, Victoria Vysotska

Proceedings Volume 12938, Sixteenth International Conference on Correlation Optics; 129380F (2024) https://doi.org/10.1117/12.3009245
Event: International Conference Correlation Optics (COR 2023), 2023, Chernivtsi, Ukraine

Abstract

This study examined the problems associated with the registration and visualisation of medical images. Scientific computing in the field of medicine was carried out and an intelligent system was developed to identify diseases based on these images. An approach to detecting affected tissue areas in medical images was proposed. To achieve this goal, a neural network was used, which was trained to identify masks of affected areas. The masks were identified by annotation, where polygons with affected tissues were highlighted. The objects under study were classified by disease type.

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

Citation Download Citation

Zhengbing Hu, Dmytro Uhryn, Yurii Ushenko, Viktor Korolenko, Vasyl Lytvyn, and Victoria Vysotska "System programming of a disease identification model based on medical images", Proc. SPIE 12938, Sixteenth International Conference on Correlation Optics, 129380F (5 January 2024); https://doi.org/10.1117/12.3009245

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