Management and Economics Scientific Research Journal 2-jild 2-son (2025) · 96-98-betlar
TIBBIY 2D TASVIRLAR ASOSIDA 3D TASVIRLARNI SHAKLLANTIRISH USULLARI
Mamatov N.S, Jalelova M.M, Jo‘rayev I.A, Turakulova Sh.A
Annotatsiya
This work describes the process of reconstructing a three-dimensional (3D)model of the kidney organ based on 2D medical images, in which the stages of segmentation, 3Dreconstruction and visualization of medical images are analyzed in detail. In particular, the highaccuracy and efficiency of the U-Net model based on deep learning methods in kidneysegmentation are recognized. Also, the advantages of the Marching Cubes algorithm in generating3D surfaces are shown.
2D tibbiy tasvirlar, 3D rekonstruksiya, segmentatsiya algoritmlari, U-Net neyron tarmog‘i, Marching Cubes, DICOM format.
Metadata manbasi: jurnal OAI-PMH arxivi · Sindex toʻliq matnni saqlamaydi, manbaga havola beradi.