EXOKARDIOGRAMMA TASVIRLARI ASOSIDA YURAKKASALLIKLARINI TASNIFLASHNING CHUQUR O‘QITISHGAASOSLANGAN ALGORITMINI ISHLAB CHIQISH

Авторы

  • Nigora Djurayeva Автор
  • Temur Djurayev Автор

DOI:

https://doi.org/10.5281/zenodo.10806747

Ключевые слова:

kardiomiopatiya, exokardiogramma, chuqur o’qitish, CNN

Аннотация

Exokardiogramma tasvirlarini intellektual ishlov berish orqali xususiyatlarni ajratib olish, ularni tasniflash va avtomatik ravishda tashxis qo‘yish hozirgi tibbiyot sohasida yechilishi eng muhim bo‘lgan masalalardan biri
hisoblanadi. Shu sababli bugungi kunda bu sohada juda ko‘plab ilmiy tadqiqotlar olib borilmoqda. Hozirda exokardiografik tasvir yoki videolar asosida kasallikka tashxis qo‘yish amaliyoti hali tadqiqot boshqichidadir. Ushbu maqolada ilmiy nashrlarda chop etilgan maqolalar va ilmiy xulosalar asosida exokardiogramma tasvirlaridan iborat ma’lumotlar bazasi yaratildi va shu asosida GKM va KKM kasalliklari klassifikatsiya qilindi.

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Библиографические ссылки

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Zeynettin Akkus *, Yousof H. Aly, Itzhak Z. Attia, Francisco Lopez-Jimenez, Adelaide M. Arruda-Olson, Patricia A. Pellikka, Sorin V. Pislaru, Garvan C. Kane, Paul A. Friedman and Jae K. Oh, “Review Artificial Intelligence (AI)-Empowered Echocardiography Interpretation: A State-of-the-Art Review”, Journal of Clinical Medicine, 2021, 10, 1391.

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Опубликован

2024-03-10

Выпуск

Раздел

Technical Sciences

Как цитировать

EXOKARDIOGRAMMA TASVIRLARI ASOSIDA YURAKKASALLIKLARINI TASNIFLASHNING CHUQUR O‘QITISHGAASOSLANGAN ALGORITMINI ISHLAB CHIQISH. (2024). Инновации в науке и технологиях, 1(1), 72-81. https://doi.org/10.5281/zenodo.10806747

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