Download This PaperA Review on Automatic Detection of Kidney Abnormalities in Ultrasound Images
7 Pages Posted: 2 Apr 2020
Date Written: March 31, 2020
Abstract
In these days people are suffering from various diseases. Kidney diseases are one of the major diseases amongst them which are increasing day by day like formation of cysts and stones, infection, tumour, change in kidney position and appearance etc. We cannot ignore kidney related problems because kidney malfunctioning can put life in risk. Hence, to prevent such kind of kidney abnormalities in patients, early detection and prevention is required. This paper presents a review on the detection and recognition of kidney abnormalities. The information can be useful to detect and locate the kidney diseases in the earlier stages to perform the surgical operation to cure them successfully. So, it has a recurring application domain that includes computer aided diagnosis system which helps to detect kidney abnormalities and provide a diagnosis of potential disease. Moreover B-mode ultrasound image has many issues like low contrast, speckle noise, gaussian noise, and other artefacts. So, there is a big need of superior image quality to extract related features. To overcome this challenge, appropriate image processing techniques as pre-processing and classification techniques have been described. The research work presents the overview of the various techniques for the detection and recognition of kidney abnormalities. Moreover, the objectives of these techniques and their performance are explained.
Keywords: Kidney abnormalities, ANN, SVM, KNN, Intensity threshold variation, Texture classification
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