Pneumonia Detections Using Deep Learning

Abstract

This article discusses the application of deep learning techniques in detecting pneumonia through medical imaging, focusing primarily on chest X-rays. It outlines the significance of using Convolutional Neural Networks (CNNs) for image classification tasks and highlights various publicly available datasets, such as Chest X-ray14 used for training models. The article emphasizes the model training process, including data augmentation and transfer learning from pre-trained models like VGG16 and ResNet, which enhances detection accuracy. Evaluation metrics, including accuracy, precision, recall, and F1-score, are discussed as critical components for assessing model performance.