TIBBIY TASVIR TAHLILINING DEEP LEARNING YORDAMIDA RIVOJLANISH TENDENSIYASI

Authors

  • Xo‘jamqulov Abdulaziz Xazrat o‘g‘li Soliq qo‘mitasi huzuridagi Fiskal instituti

Keywords:

Tibbiy tasvir tahlili, Deep Learning, kompyuter yordamida tashxis qo‘yish, nazoratsiz xususiyatlarni o‘rganish

Abstract

Ushbu maqola tibbiy tasvirlarni deep learning (chuqur o‘qitish) algoritmlari yordamida tahlil qilish asoslari va ustunliklari keltirilgan, neyron tarmoqlari va deep learning modellarning hisoblash nazariyalari va ular asosida ma’lumotlarni samarali tahlil qilish usullari tushuntirilgan. Tibbiy tasvirlashda turli ilovalar uchun deep learning modellardan foydalangan holda so‘nggi tadqiqotlar, jumladan, organlarni va to‘qimalarni segmentatsiyalash, obyektlar va hujayralar xususiyatlarini tahlil qilish, kompyuter yordamida tashxis qo‘yish kabi tadqiqotlar tahlil qilingan.

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Published

2023-09-15

How to Cite

Xo’jamqulov, A. (2023). TIBBIY TASVIR TAHLILINING DEEP LEARNING YORDAMIDA RIVOJLANISH TENDENSIYASI. DIGITAL TRANSFORMATION AND ARTIFICIAL INTELLIGENCE, 1(2), 173–178. Retrieved from https://dtai.tsue.uz/index.php/dtai/article/view/v1i227