Prediction of Ultrasound Kidney Imaging Using Convolution Neural Networks
Smitha Patil, Savita Choudhary · 2023
Deep learning is now being used in the medical field to detect ailments such as cancer, diabetes, kidney disease, etc. Kidney disease has become a major public health concern around the globe. If CKD is not diagnosed at an early stage, it can lead to loss of kidney function and which require costly treatments like dialysis and a kidney transplant. Using CNN, an automatic model has been developed to predict chronic renal disease. The major goal of this study is to predict CKD and non-CKD patients. Convolutional neural networks are used to classify chronic renal disease in this proposed system, and the batch prediction method is evaluated for CKD prediction. The precision with which renal disease can be predicted is 95%, and the accuracy for the classification of CKD ultrasound images using CNN is 80%.