Management and Economics Scientific Research Journal Том 2 № 2 (2025) · с. 92-95
TIBBIY TASVIRLARNI TAHLIL QILISH USUL VA ALGORITMLARI
Mamatov N.S, Jo‘rayev I.A, Jalelova M.M, Jumayev B.J
Аннотация
This work analyzes modern approaches to medical image analysis for earlydetection of kidney diseases, and studies the role of segmentation and classification algorithms indetecting kidney tumors, stones, and other pathological conditions based on CT, MRI, andultrasound images. In particular, it is emphasized that deep learning models such as CNN and UNethave high accuracy. At the end of the study, a comparative analysis of the algorithms ispresented.
Segmentatsiya algoritmlari, tasniflash, chuqur o‘qitish, convolutional Neural Networks (CNN), U-Net, thresholding, Watershed algoritmi.
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