OKT B-SKAN TASVIRLARIDA TO‘R PARDA QATLAMLARINI KO‘P BOSQICHLI SEGMENTATSIYA QILISH YONDASHUVI

Qabul qilingan: 2026-07-15 15:37:26

Nashr etilgan: 2026-04-18

Annotatsiya

Ushbu tadqiqotda OKT B-skan tasvirlarida to‘r parda qatlamlarini segmentatsiya qilish uchun interpretatsiya qilinadigan, o‘qitishni talab qilmaydigan va hisoblash jihatdan samarali ko‘p bosqichli yondashuv taklif etiladi. Taklif etilgan usul spekl shovqin, chuqurlikka bog‘liq yoritilish notekisligi hamda tasvir olish qurilmalari va protokollari o‘rtasidagi farqlar kabi keng tarqalgan muammolarga nisbatan barqaror bo‘lib, shu bilan birga oddiy CPU tizimlarida tez ishlashni ta’minlaydi. Baholash klinik jihatdan muhim bo‘lgan ko‘rsatkichlar — Dice koeffitsienti, IoU, Boundary F1 o‘lchovi va qatlam qalinligi xatosi asosida amalga oshiriladi, shuningdek parametrlarni sozlash bo‘yicha amaliy tavsiyalar beriladi. Taklif etilgan usul barqaror va ishonchli natijalarni ko‘rsatib, sifat, hisoblash murakkabligi va resurs sarfi o‘rtasida samarali muvozanatni ta’minlaydi, bu esa uni hisoblash imkoniyatlari cheklangan muhitlarda qo‘llashga mos qiladi.

Adabiyotlar ro'yxati

  1. Huang D., Swanson E.A., Lin C.P., Schuman J.S., Stinson W.G., Chang W., Hee M.R., Flotte T., Gregory K., Puliafito C.A., Fujimoto J.G. Optical coherence tomography // Science. – 1991. – Vol. 254, No. 5035. – P. 1178–1181.

  2. Ronneberger O., Fischer P., Brox T. U-net: Convolutional networks for biomedical image segmentation // Medical Image Computing and Computer-Assisted Intervention (MICCAI). – 2015. – Vol. 9351. – P. 234–241.

  3. Badrinarayanan V., Kendall A., Cipolla R. Segnet: A deep convolutional encoder-decoder architecture for image segmentation // IEEE Transactions on Pattern Analysis and Machine Intelligence. – 2017. – Vol. 39, No. 12. – P. 2481–2495.

  4. Oktay O., Schlemper J., Le Folgoc L., Lee M., Heinrich M., Misawa K., Mori K., McDonagh S., Hammerla N.Y., Kainz B., Glocker B., Rueckert D. Attention u-net: Learning where to look for the pancreas // arXiv preprint arXiv:1804.03999. – 2018.

  5. Zuiderveld K. Contrast limited adaptive histogram equalization // Graphics Gems IV / ed. Heckbert P.S. – San Diego: Academic Press, 1994. – P. 474–485.

  6. Yu Y., Acton S.T. Speckle reducing anisotropic diffusion // IEEE Transactions on Image Processing. – 2002. – Vol. 11, No. 11. – P. 1260–1270.

  7. Canny J. A computational approach to edge detection // IEEE Transactions on Pattern Analysis and Machine Intelligence. – 1986. – Vol. 8, No. 6. – P. 679–698.

  8. Vincent L., Soille P. Watersheds in digital spaces: An efficient algorithm based on immersion simulations // IEEE Transactions on Pattern Analysis and Machine Intelligence. – 1991. – Vol. 13, No. 6. – P. 583–598.

  9. Arbelaez P., Maire M., Fowlkes C., Malik J. Contour detection and hierarchical image segmentation // IEEE Transactions on Pattern Analysis and Machine Intelligence. – 2011. – Vol. 33, No. 5. – P. 898–916.

  10. Otsu N. A threshold selection method from gray-level histograms // IEEE Transactions on Systems, Man, and Cybernetics. – 1979. – Vol. 9, No. 1. – P. 62–66.

Mualliflar haqida

License

How to Cite

[1]
Shamsiyeva X.G. tran. 2026. OKT B-SKAN TASVIRLARIDA TO‘R PARDA QATLAMLARINI KO‘P BOSQICHLI SEGMENTATSIYA QILISH YONDASHUVI. O‘zbekiston Ochiq Konferensiyasi. 1 (Apr. 2026), 288–295. DOI:https://doi.org/10.57033/.

O'xshash maqolalar

Siz ham ushbu maqola uchun {$ advancedSearchLink} olishingiz mumkin.