Image Classification: Pneumonia Detection

Abstract

This article examines the principles underlying supervised machine learning, convolutional neural networks, and transformation layers. These ideas were applied to a dataset of chest X-ray images, categorizing them into healthy and pneumonia classes. The accuracy of the model obtained is 85.3\%. This article illustrates the power of machine learning as a diagnostic tool in medicine.