Cronic Kidney Disease Prediction using Deep Learning

Author(s)	Ms. KAMIREDDY SUMITHRA REDDY, Ms. T. V. Maha Lakshmi, T. Meghana, SK. Gafoor, M. Hari Krishna
Country	India
Abstract	Chronic Kidney Disease (CKD) is a medical condition that affects the normal functioning of the kidneys. Early detection of kidney abnormalities is important to prevent serious health complications. This project presents a deep learning based system for identifying kidney diseases from CT scan images. The model uses a Convolutional Neural Network with the ResNet50 architecture to extract important features from images and classify them into different categories such as normal, cyst, tumor, and stone. Image preprocessing techniques are applied to prepare the dataset for training the model. The trained system predicts the disease type and provides a confidence score for the prediction. This approach helps in faster analysis of medical images and can support doctors in the early detection of kidney diseases
Keywords	Chronic Kidney Disease (CKD) ,Deep Learning, Convolutional Neural Network (CNN), ResNet50 Medical Image Classification, Kidney CT Images ,Disease Prediction
Field	Engineering
Published In	Volume 7, Issue 2, March-April 2026
Published On	2026-03-11

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