Article · Miasto Przyszłości · June 26, 2025

Pneumonia Detections Using Deep Learning

Qadamova Zulayho Erkinjon Qizi, Toxirova Sarvinoz G’ayratjon qizi

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.

COVID-19 diagnosis using AIRadiomics and Machine Learning in Medical ImagingAdvanced Neural Network Applicationspneumonia detectionchest radiographyconvolutional neural networks

Pneumonia Detections Using Deep Learning

Abstract

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