Developed in recent years, deep neural network becomes the best method for rapid analysis
of advanced features and automation in medical image analysis. As a second clinical …

BACKGROUND: Chest X-ray images are widely used to detect many different lung diseases.
However, reading chest X-ray images to accurately detect and classify different lung …

The interpretation of chest X-rays is crucial in the identification of cardiothoracic and
pulmonary disorders. In order to avoid catastrophic harm to individuals, this time-consuming …

Chest radiography is a widely used diagnostic imaging procedure in medical practice, which
involves prompt reporting of future imaging tests and diagnosis of diseases in the images. In …

Chest radiographies, or chest X-rays, are the most standard imaging exams used in daily
hospitals. Responsible for assisting in detecting numerous pathologies and findings that …

Background Compared to classical computer-aided analysis, deep learning and in particular
deep convolutional neural network demonstrates breakthrough performance in many of the …

The purpose of this study was learning about chest X-ray image classification and accuracy
research through Deep Learning using big data technology with Convolution Neural …

Chest radiography is used to identify, diagnose, and treat lung illnesses including
pulmonary nodules, TB, and interstitial lung disease. Chest radiography provides a wealth of …

This study aimed to assess the performance of a deep learning algorithm in helping
radiologist achieve improved efficiency and accuracy in chest radiograph diagnosis. We …

This electronic document is a “live” template and already Lung ailments are very extensive
and are present globally. Common examples of pulmonary illness with chronic obstruction …