MASHINALI O‘QITISH ALGORITMLARI ASOSIDA TIBBIY TASVIRLARNI ANIQLASH USULLARI

Mualliflar

  • Maftuna Rajabova Muallif
  • Giyosjon Jumaev Muallif

;

mashinali o‘qitish, nazoratli o‘qitish, nazoratsiz o‘qitish, mustahkamlash orqali o‘qitish, onlayn o‘qitish, segmentatsiya, klassifikatsiya, tibbiy tasvirlarni aniqlash, sun’iy intellect, rentgen, yorliq belgilash.

Abstrak

Ushbu maqola mashinali o‘qitish algoritmlari asosida tibbiy tasvirlarni aniqlash usullariga bag‘ishlangan. Bundan tashqari maqolada tibbiy tasvirlar, tasvirlarni mashinali o‘qitish algoritmlarining segmentatsiya, klassifikatsiya va chuqur o‘qitish usullari ko‘rib chiqilgan. Shuningdek, nazoratli o‘qitish usuli asosida zararlangan hududni aniqlash muammosi ko‘rib chiqilgan.

Iqtiboslar

Sadullaeva Sh.A., Aripova Z.D, Rajabova M.R., “Ayollarda uchraydigan mioma kasalligini segmentatsiyalash orqali aniqlash” “Zamonaviy Axborot, Kommunikatsiya Texnologiyalari Va At-Ta’lim Tatbiqi Muammolari” Mavzusidagi Respublika Ilmiy-Amaliy Anjumani, Samarqand,pp. 88–90, 2022.

Analysis of Detection and segmentation of Uterine fibroids between uzbek women Sadullaeva Sh. A., Sadullaeva U. A., Artikova M.A., Aripova Z.D. Radjabova M.R. NeuroQuantology 20 (10), 83-90

AI vs Machine Learning vs Deep Learning|Edureka. Available online: https://www.edureka.co/blog/ai-vs-machine-learning-vs-deep-learning/ (accessed on 11 August 2022).

Andhika S. Pratama. "Image Labeling — Take a Part in Machine Learning." Data Folks Indonesia. Medium, 2020.

Shrestha, A.; Mahmood, A. Review of deep learning algorithms and architectures. IEEE Access 2019, 7, 53040–53065. [Google Scholar] [CrossRef]

TensorFlow-TensorRT Documentation. Available online: https://docs.nvidia.com/deeplearning/frameworks/tf-trt-user-guide/ index.html (accessed on 24 February 2022).

Nashr qilingan

2025-01-04

Iqtibos keltirish tartibi

MASHINALI O‘QITISH ALGORITMLARI ASOSIDA TIBBIY TASVIRLARNI ANIQLASH USULLARI . (2025). Yevroosiyo Akademik Tadqiqotlar Jurnali, 4(12 Special Issue), 116-120. https://www.in-academy.uz/index.php/EJAR/article/view/4807
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