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 …

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 X-ray medical imaging technology allows the diagnosis of many lung diseases. It is
known that this technology is frequently used in hospitals, and it is the most accurate way of …

We investigated whether a convolutional neural network (CNN) can enhance the usability of
computer‐aided detection (CAD) of chest radiographs for various pulmonary abnormal …

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 …

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 …

AIM To investigate the performance of a deep-learning approach termed lesion-aware
convolutional neural network (LACNN) to identify 14 different thoracic diseases on chest X …

Doctors and radiologists are still using manual and visual manners in ordert to diagnose the
chest radiographs. Thus, there is a need for an intelligent and automatic system that has the …

Chest X-ray radiographic (CXR) imagery enables earlier and easier lung disease diagnosis.
Therefore, in this paper, we propose a deep learning method using a transfer learning …

Chest X-ray interpretation is very crucial to detect cardiothoracic and pulmonary
abnormalities. This time-consuming and tedious task should be error-free, fast, and reliable …