DOI:
https://doi.org/10.71337/inlibrary.uz.universaljurnal.111022Kalit so‘zlar:
Ultrasound diagnostics artificial intelligence medical image processing automated diagnostics neural networks ultrasound imaging medical diagnostics automation.Annotasiya
Ushbu maqolada sun'iy intellektdan (AI) foydalanish bosqichlari ko'rib chiqiladi
tibbiyotda ultratovush texnologiyasi. AI tasvirlarni qayta ishlashda, vazifalarni avtomatlashtirishda hal qiluvchi rol o'ynaydi,
va ultratovush tekshiruvlarida diagnostika aniqligini oshirish. Maqolada batafsil ma'lumot berilgan
AI ultratovush diagnostikasining aniqligi va samaradorligini qanday oshirishi haqida ma'lumot, shuningdek
uning amaliy qo'llanilishi. Tibbiyot sohasida AI texnologiyasidan foydalanish tez sur'atlar bilan rivojlanmoqda.
Bibliografik manbalar
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Litjens, G., et al. (2017). A survey on deep learning in medical image analysis. Medical Image Analysis, 42, 60-88.
Esteva, A., et al. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7639), 115-118.
Advances in AI and Ultrasound Diagnostics. Journal of Medical Imaging and Health Informatics, 2023.
Schmidhuber, J. (2015). Deep learning in neural networks: An overview. Neural Networks, 61, 85-117.
Çallı, E., et al. (2021). Deep learning for classification of COVID-19 in chest CT using AI-driven self-supervised contrastive learning. Medical Image Analysis, 72, 102-121.
