MIYA OʻSIMTALARINI MRI VA KT TASVIRLAR TOʻPLAMLARINI SHAKLLANTIRISH HAMDA OLDINDAN ISHLOV BERISH

Mualliflar

  • Dildora Muxamediyeva
  • Amriddin Abdiraximov

Kalit so'zlar

https://doi.org/10.47390/issn3030-3702v3i3y2025N01

Kalit so'zlar

miya oʻsimtalari, MRI va KT tasvirlari, chuqur oʻrganish, tasvirlarni oldinga berish, FastAPI и TensorFlow.

Annotasiya

Mazkur maqola miya oʻsimtalarini va tasniflashda magnit-rezonans tomografiya (MRI) va kompyuter tomografiyasi (KT) tasvirlari muhim hisoblanadi. Ushbu miya MRI va KT tasvirlar toʻplamlarini kuzatish, ularni oʻrganish rivojlantirish va chuqur oʻrganish modellari uchun ishlab chiqarish jarayonlarini ilmiy nuqtai nazardan yoritadi. Maqolada tasvir yigʻish, tozalash, normalizatsiya, segmentatsiya va ma’lumotlarni yaxshilash usullari keng koʻlamda tahlil qilishdan iborat.

Manbalar

1. World health statistics 2025: monitoring health for the SDGs, Sustainable Development Goals ISBN 978-92-4-011049-6 (electronic version)

2. D.K. Muxamediyeva, A.A. Abdiraximov (2025) “Miya oʻsimtalarini erta tashxislashda sun’iy intellektdan foydalanish: backend api asosidagi yondashuv” “Образование наука и инновационные идеи в мире» Xalqaro ilmiy elektron jurnal” 3-tom 69-soni ISSN 2181-3187:176-182 https://scientific-jl.com/obr/issue/view/227

3. Dolz J. et al. (2020). “HyperDense-Net: A Hyper-Densely Connected CNN for Multi-Modal Image Segmentation”. IEEE Transactions on Medical Imaging. DOI: 10.1109/TMI.2018.2878669

4. A. Rehman et al. (2020). “A Deep Learning-Based Framework for Automatic Brain Tumors Classification Using Transfer Learning”. Circuits, Systems, and Signal Processing, 39:757–775.DOI: 10.1007/s00034-019-01246-3

5. Esteva A. et al. (2019). “Deep learning-enabled medical computer vision”. NPJ Digital Medicine, 4(1):1-9. DOI: 10.1038/s41746-020-00376-2

6. F. Isensee et al. (2019). “Automated Design of Deep Learning Methods for Biomedical Image Segmentation”. arXiv:1904.08128.

7. “Deep Learning for Medical Image Analysis” – Aygun et al. (2017), Academic Press.*ISBN: 978-0-12-810408-8*

8. B. H. Menze et al. (2015). “The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)”. IEEE Transactions on Medical Imaging, 34(10):1993–2024. DOI: 10.1109/TMI.2014.2377694

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Yuborilgan

2025-06-19

Nashr qilingan

2025-06-20

Qanday ko'rsatish

Muxamediyeva , D., & Abdiraximov , A. (2025). MIYA OʻSIMTALARINI MRI VA KT TASVIRLAR TOʻPLAMLARINI SHAKLLANTIRISH HAMDA OLDINDAN ISHLOV BERISH. Techscience Uz - Topical Issues of Technical Sciences, 3(3), 6–12. https://doi.org/10.47390/issn3030-3702v3i3y2025N01