RADIOLOGIYADA SUN’IY INTELLEKT: MRT VA KT TASVIRLARINI MASHINAVIY O‘RGANISH IMKONIYATLARI

Mualliflar

  • Musulmonov Shoxrux Ravshanbekovich Toshkent Davlat Tibbiyot Universiteti 1 son tibbiy radiologiya kafedrasi assistenti Muallif
  • Atovullayeva Mohinur Botir qizi Toshkent davlat tibbiyot universititi 2-bosqich 2-son davolash fakulteti talabasi Muallif

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Sun’iy intellekt (AI), chuqur o‘rganish (DL), MRT, KT, konvolyutsion neyron tarmoqlar (CNN), tasvirni qayta ishlash, diagnostika, mashinaviy o‘rganish (ML).

Abstrak

Ushbu maqolada sun’iy intellekt (AI) va uning tarkibiy qismi bo‘lgan chuqur o‘rganish (Deep Learning), mashinaviy o‘rganish (Machine Learning) texnologiyalarining, ayniqsa Konvolyutsion Neyron Tarmog‘i (CNN) radiologiya sohasida qo‘llanilishi ko‘rib chiqildi. Tadqiqotning asosiy maqsadi ushbu algoritmlarning tasvirlarni qayta ishlash, segmentatsiya qilish va patologik o‘zgarishlarni aniqlashdagi samaradorligini baholashdan iborat.

Iqtiboslar

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Paudyal R., Shah A.D., Akin O., et al. Artificial Intelligence in CT and MR Imaging for Oncological Applications. Cancers. 2023;15(9):2573. This review outlines AI applications in CT/MRI for cancer and personalized management. https://www.mdpi.com/2072-6694/15/9/2573

Sherwani M.K.K., Gopalakrishnan S. A systematic literature review: deep learning techniques for synthetic medical image generation and their applications in radiotherapy. Front. Radiol. 2024. Discusses DL methods for synthetic CT and MR image generation. https://www.frontiersin.org/journals/radiology/articles/10.3389/fradi.2024.1385742/full

Van Timmeren J.E., Cester D., Tanadini‑Lang S., Alkadhi H., Baessler B. Radiomics in medical imaging — “How‑to” guide and critical reflection. Insights Imaging. 2020;11:91. A guide to radiomics feature extraction in medical images. https://pmc.ncbi.nlm.nih.gov/articles/PMC11394591

Xuxin Chen, Ximin Wang, Ke Zhang, et al. Recent advances and clinical applications of deep learning in medical image analysis. arXiv preprint. 2021. Summary of DL progress in medical imaging classification and segmentation. https://arxiv.org/abs/2105.13381

Исламгулов А.Х., Богданова А.С., Суфияров Д.И., et al. Современные возможности применения технологий искусственного интеллекта в сердечно‑сосудистой визуализации. Digital Diagnostics. 2025;6(1):116‑129. Review on AI/ML applications in cardiovascular imaging. https://journals.rcsi.science/DD/article/view/310056/ru_RU

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Nashr qilingan

2026-05-05

Iqtibos keltirish tartibi

RADIOLOGIYADA SUN’IY INTELLEKT: MRT VA KT TASVIRLARINI MASHINAVIY O‘RGANISH IMKONIYATLARI. (2026). Markaziy Osiyo Akademik Tadqiqotlar Jurnali, 4(5), 27-34. https://www.in-academy.uz/index.php/CAJAR/article/view/39724
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