SUN’IY INTELLEKTNING CHUQUR O‘RGANISH MODELLARI YORDAMIDA RENTGEN TASVIRLARI ASOSIDA O‘PKA KASALLIKLARINI ANIQLASH VA TASNIFLASH ALGORITMLARINI ISHLAB CHIQISH
Qabul qilingan: 2026-05-20
Nashr etilgan: 2026-06-06
Annotatsiya
Maqolada ko‘krak qafasi a’zolarining rentgenografik tasvirlari asosida o‘pka kasalliklarini avtomatik aniqlash va tasniflashning intellektual algoritmlarini ishlab chiqish masalalari ko‘rib chiqiladi. Pnevmoniya, sil, COVID-19 va o‘pka saratonini tashxislashda qo‘llaniladigan zamonaviy chuqur o‘qitish usullari tahlil qilingan. Tasvirlarni dastlabki qayta ishlash, neyron tarmog‘ini o‘qitish, tasniflash sifatini baholash va natijalarni talqin qilish bosqichlarini o‘z ichiga olgan tizim arxitekturasi taklif etilgan. Sun’iy intellekt modellaridan foydalanish tashxis aniqligini oshirishga va rentgenolog shifokorlar yuklamasini kamaytirishga yordam berishi ko‘rsatilgan.
Kalit so‘zlar
Adabiyotlar ro'yxati
-
World Health Organization. Global Health Estimates 2024.
-
Felson's Principles of Chest Roentgenology. 5th ed. Philadelphia: Elsevier; 2020.
-
Ian Goodfellow, Yoshua Bengio, Aaron Courville. Deep Learning. MIT Press; 2016.
-
Wang X., et al. ChestX-ray8: Hospital-scale chest X-ray database and benchmarks. CVPR; 2017.
-
Shorten C., Khoshgoftaar T. A survey on image data augmentation. J Big Data. 2019;6:60.
-
Pan S.J., Yang Q. A survey on transfer learning. IEEE Trans Knowl Data Eng. 2010;22(10):1345–1359.
-
Selvaraju R.R., et al. Grad-CAM: Visual explanations from deep networks via gradient-based localization. ICCV; 2017.
-
Pranav Rajpurkar, et al. CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays. Stanford University; 2017.
Mualliflar haqida
Litsenziya

This work is licensed under a Creative Commons Attribution 4.0 International License.