Pneumonia Detection System Using Deep Learning

Abstract

Artificial intelligence and machine learning are increasingly being applied in medicine, particularly in biomedical imaging and diagnostic procedures. Machine learning algorithms are being used to process chest X-ray images, enhancing consistency and accuracy in reporting. The research focuses on using deep learning algorithms based on convolutional neural networks to build a processing model for detecting pneumonia-related changes in chest X-rays and classifying them into two groups based on detection results. This approach aims to improve decision-making and accuracy in medical imaging.