Articles

BACHADON MIOMASINI ERTA ANIQLASH USULLARI VA ALGORITMLARI

Vol. 5 No. 9 (Special Issue) (2025): "XXI ASRDA ILM-FAN TARAQQIYOTINING ASOSIY TENDENSIYALARI VA XUSUSIYATLARI" xalqaro ilmiy-amaliy konferensiyasi 629-631

DOI: 10.5281/zenodo.17296961 2025-10-08 Articles CC BY 4.0 Open Access

Authors

  • AKHRAM NISHANOV
  • MAXTUMQULI MAMATOV
  • SHERZOD ALIYEV
  • FAXRIDDIN SHAMATOV

Abstract

Ushbu maqolada bachadon miomasini erta aniqlashning turli usullari, jumladan klinik belgilarga asoslangan tashxis, biomarker va laboratoriya tahlillari, shuningdek zamonaviy texnologiyalar – ultratovush tekshiruvi (UZI), magnit rezonans tomografiyasi (MRI), histeroskopiya va sonogisterografiya kabi metodlar tahlil qilinadi. Shuningdek, diagnostika jarayonida algoritmik va dasturiy yondashuvlarning samaradorligi ham ko‘rib chiqilgan.

References

Jo‘rayev M. D., Karimova M. N., O‘lmasov F. G‘. Onkologiya. Tibbiyot talabalari uchun tavsiya etilgan darslik. – Samarqand, 2021.

Atoev S., Nishanov A., Abdirazakov F. Object Tracking Method Based on Kalman Filter and Camshift Algorithm for UAV Applications // International Conference on Information Science and Communications Technologies: Applications, Trends and Opportunities (ICISCT 2021). – 2021.

Behboodi B. va boshq. Diagnostic Imaging Using UNet-based Networks // Journal of Medical Systems. – 2023.

Dilna M. va boshq. Classification of Ultrasound Images for Uterine Fibroid Detection // Medical Imaging Journal. – 2022.

Yang X. va boshq. YOLOv3-based Object Detection for Fibroid Identification // Journal of Clinical Medicine. – 2025.

OpenAI. Modern Algorithms in Medical Diagnostics. Research Report. – 2024.

GE Healthcare, Siemens Healthineers, Philips. Diagnostic Imaging Technologies Reports. – 2023.

Readership

3 Views
0 PDF downloads
1 Countries

    Published

    2025-10-08

    How to Cite

    NISHANOV , A. ., MAMATOV, M. ., ALIYEV, S. ., & SHAMATOV , F. . (2025). BACHADON MIOMASINI ERTA ANIQLASH USULLARI VA ALGORITMLARI. Eurasian Journal of Academic Research, 5(9 (Special Issue), 629-631. https://doi.org/10.5281/zenodo.17296961
    Innovative Academy RSC
    Article metrics Views and PDF downloads
    3 Views
    0 Downloads