AUTOMATED PNEUMONIA DETECTION FROM X-RAY IMAGES USING DEEP LEARNING

Abstract

The goal of this research is to create an automated system that uses deep learning techniques to identify pneumonia from X-ray pictures. One of the most common causes of respiratory illnesses is pneumonia, and effective treatment depends on early detection. Convolutional neural networks (CNNs) are used by the suggested system to categorize X-ray pictures as either normal or indicative of pneumonia. The technology uses deep learning to automate the diagnosis procedure, guaranteeing quick and precise findings. This technique can help medical professionals diagnose pneumonia, increase the effectiveness of diagnosis, and lessen the workload for radiologists.