Deepthy Mary Alex and D. Abraham Chandy* Pages 1 - 14 ( 14 )
Background: Chronic Kidney Disease is one of the fatal diseases that ultimately result in kidney failure. The threat to mankind is the etiology of chronic kidney disease. Over the years researchers have proposed various techniques and methods to detect and diagnose chronic kidney disease. The traditional method of detecting chronic kidney disease is by determining the estimated glomerular filtration rate using creatinine from blood or urine. The traditional methods for detection and classification of chronic kidney disease is tedious and thus several researchers have suggested various alternatives. Recently, research community have shown keen interest in early detection of chronic kidney diseases based on imaging modalities such as ultrasound, magnetic resonance imaging and computed tomography.
Discussion: The strategy here is to have a systematic review of various existing techniques present in each stage of chronic kidney disease detection and classification using 2D ultrasound kidney images. The review is confined to only 2D ultrasound images considering the implementation even in under-developed countries as 2D ultrasound scans are cost effective compared to other modalities. The techniques and experimentation analysis of each work is thoroughly studied and discussed.
Conclusion: This review brings out the state-of-the-art, challenges and possibilities for new research as well as improvement towards detecting and classifying chronic kidney diseases.
Chronic kidney disease, classification, inpainting, speckle noise, segmentation, ultrasound.
Department of Electronics and Communication Engineering, Karunya University Institute of Technology and Sciences, Coimbatore, Department of Electronics and Communication Engineering, Karunya University Institute of Technology and Sciences, Coimbatore