KO‘Z TUBI TASVIRLARIDA QON TOMIR TARMOQLARINING DIAMETRI, EGRI-BUGRILIGI VA TARMOQLANISH BURCHAKLARI ASOSIDA DIAGNOSTIK TAHLIL
Kalit so‘zlar:
fondus tasviri, chuqur o‘rganish, diabetik retinopatiya, glaukoma, katarakta, EfficientNetB3, transfer o‘rganish, kompyuter yordamida diagnostika.Annotatsiya
Mazkur maqolada ko’z tasvirlari asosida kasalliklarni
avtomatik aniqlashda sun’iy intellekt va chuqur o’rganish algoritmlaridan
foydalanish imkoniyatlari tahlil qilingan. Tadqiqotda EfficientNetB3 arxitekturasi
asosida transfer learning texnologiyasi qo’llanilib, diabetik retinopatiya,
glaukoma va katarakta kabi ko’z kasalliklarini aniqlash bo’yicha yuqori
samaradorlikka erishilgan. Maqolada ma’lumotlar to’plami, preprocessing, data
augmentation, model arxitekturasi va baholash ko’rsatkichlari atroflicha
yoritilgan. Tadqiqot natijalari taklif etilgan modelning tibbiy amaliyotda qo’llash
uchun yuqori istiqbolga ega ekanligini ko’rsatadi.
Manbalar
Gulshan, V., Peng, L., Coram, M., et al. (2016). Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs. JAMA, 316(22), 2402–2410.
Ting, D. S. W., Cheung, C. Y., Lim, G., et al. (2017). Development and validation of a deep learning system for diabetic retinopathy and related eye diseases using retinal images from multiethnic populations with diabetes. JAMA, 318(22), 2211–2223.
Tashkandi, A. (2025). Eye care: Predicting eye diseases using deep learning based on retinal images. Computation, 13(4), 91.
Hu, W., et al. (2025). FundusNet: A deep-learning approach for fast diagnosis of neurodegenerative and eye diseases using fundus images. Bioengineering, 12(1), 57.
Sanghavi, J., & K. M. (2024). Ocular disease detection systems based on fundus images: A survey. Multimedia Tools and Applications, 83, 21471–21496.
Ibrohimova, Z. E., Primova, X. A., & Asatov, V. A. (2026). Artificial intelligence in ophthalmology. In Proceedings of the International Scientific Conference “Prospects for the Development of Economics, Accounting, and Information Technologies in the Digital Economy” (pp. 597–603).