2026: MMIT'26 Xalqaro Konferensiyasi maqolalar to'plami
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2026-06-06
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SUN’IY INTELLEKT VA FRAKTAL O’LCHOVNI HISOBLASH USULLARI YORDAMIDA KO’Z KASALLIKLARINI ANIQLASH ALGORITMLARI

Ibrohimova Z.E., G’aybullayeva M.Sh.
https://doi.org/10.61587/

Qabul qilingan: 2026-05-27

Nashr etilgan: 2026-06-06

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Annotatsiya

Diabetik retinopatiya, glaukoma va boshqa retinal kasalliklarning global ko’lamda tobora keng tarqalishi ularni erta bosqichda va yuqori aniqlik bilan aniqlash uchun avtomatlashtirilgan, keng qamrovli tizimlar yaratishni zaruratga aylantirmoqda. Ushbu maqolada chuqur o’qitish (deep learning) asosidagi retinal tasvir tahlilini fraktal razmerlikni hisoblash bilan birlashtiradigan yangi integrallashtirilgan algoritm taqdim etiladi. Taklif etilayotgan metodologiya qon tomirlarini aniq segmentatsiyalash uchun U-Net arxitekturasini, tomir tarmog’ining fraktal razmerligini (D) hisoblash uchun box-counting algoritmini, hamda transfer learning tamoyillari asosida o’qitilgan EfficientNet-B4 konvolyutsion neyron tarmog’ini o’z ichiga oladi. Tizim EyePACS, Messidor-2, DRIVE, STARE, RIM-ONE va HRF kabi keng tan olingan ochiq ma’lumotlar to’plamlari ustida sinab ko’rildi. Taklif etilgan yondashuv diabetik retinopatiyanı aniqlashda 94.6% aniqlik, 93.8% sezgirlik, 95.2% o’ziga xoslik, 94.5% F1-ball va 0.968 AUC qiymatlariga erishdi, bu esa barcha alohida bazaviy modellardan yuqori. Ilmiy yangilik fraktal geometriyani matematikaviy asoslangan, izohlanuvchan biomarker sifatida chuqur neyron tarmog’i bilan tizimli integratsiyalashda namoyon bo’lib, bir vaqtda diagnostik aniqlik va klinik izohlanuvchanlini oshiradi.

Kalit so‘zlar

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Mualliflar haqida

Ibrohimova Z.E., G’aybullayeva M.Sh.
mshoyimovna@gmail.com
SamTUIT

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Qanday iqtibos keltirish kerak

SUN’IY INTELLEKT VA FRAKTAL O’LCHOVNI HISOBLASH USULLARI YORDAMIDA KO’Z KASALLIKLARINI ANIQLASH ALGORITMLARI. (2026). MMIT Proceedings, 794-801. https://doi.org/10.61587/

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