Chest X-ray (CXR) is one of the most common radiological examinations for both
nonemergent and emergent clinical indications, but human error or lack of prioritization of …

In medical practice, chest X-rays are the most ubiquitous diagnostic imaging tests. However,
the current workload in extensive health care facilities and lack of well-trained radiologists is …

Medical X-rays are one of the primary choices for diagnosis because of their potential to
disclose previously undetected pathologic changes, non-invasive qualities, radiation …

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 …

Along with recent developments in deep learning techniques, computer-aided diagnosis
(CAD) has been growing rapidly in the medical imaging field. In this work, we evaluate the …

We aimed to develop a deep learning algorithm detecting 10 common abnormalities (DLAD-
10) on chest radiographs, and to evaluate its impact in diagnostic accuracy, timeliness of …

Chest X-ray (CXR) is considered to be the most widely used modality for detecting and
monitoring various thoracic findings, including lung carcinoma and other pulmonary lesions …

Purpose Computer-aided diagnosis (CAD), which assists in the interpretation of chest
radiographs, is becoming common. However, few studies have evaluated the benefits and …

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 …

Convolutional neural networks have been applied widely in chest X-ray interpretation thanks
to the availability of high-quality datasets. Among them, VinDr-CXR is one of the latest public …