CYST DETECTION USING FILTERING TECHNIQUE IN KIDNEY IMAGES

Author:

ÖZTÜRK Aziz İlyas1,YILDIRIM Osman2,YAVUZ Ateş3,KURU Ali2

Affiliation:

1. İSTANBUL AREL ÜNİVERSİTESİ, MÜHENDİSLİK-MİMARLIK FAKÜLTESİ

2. İSTANBUL AREL ÜNİVERSİTESİ

3. MANİSA CELÂL BAYAR ÜNİVERSİTESİ

Abstract

Kidney cysts are fluid-filled sacs that occur inside or on the surface of the kidney. It is common in the human kidney. The incidence of kidney cysts increases with age. It is a factor in the formation of stone cysts in the kidney. Kidney cysts can cause hypertension as well as kidney failure and failure of kidney functions. The most common method for detecting kidney cysts is computed tomography. In this study, the location of the kidney cyst was tried to be determined by using edge detection filter and Sobel filter. The values were first determined by using the 3x3 original kernel matrix of the filters, and then the values of these matrices were changed to obtain the best results.

Publisher

European Journal of Science and Technology

Subject

General Earth and Planetary Sciences,General Environmental Science

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Detection of Retinopathy Solutions Using Artificial Intelligence Approaches;Mühendislik Bilimleri ve Araştırmaları Dergisi;2023-04-30

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