There has been an explosive growth in research over the last decade exploring machine
learning techniques for analyzing chest X-ray (CXR) images for screening cardiopulmonary …

We undertook a systematic review of the diagnostic accuracy of artificial intelligence-based
software for identification of radiologic abnormalities (computer-aided detection, or CAD) …

Rapid treatment protocols such as X-ray and CT scans have played a crucial role in the
diagnosis of tuberculosis (TB infection). Automatic detection of CXR is required to speed up …

Abstract Novel coronavirus disease (nCOVID-19) is the most challenging problem for the
world. The disease is caused by severe acute respiratory syndrome coronavirus-2 (SARS …

Abstract Since December 2019, the Coronavirus Disease (COVID-19) pandemic has caused
world-wide turmoil in a short period of time, and the infection, caused by SARS-CoV-2, is …

Chest X-ray (CXR) imaging is a low-cost, easy-to-use imaging alternative that can be used
to diagnose/screen pulmonary abnormalities due to infectious diseaseX: Covid-19 …

Tuberculosis (TB) is is an infectious disease that generally attacks the lungs and causes
death for millions of people annually. Chest radiography and deep-learning-based image …

Tuberculosis (TB) is known as a potentially dangerous and infectious disease that affects
mostly lungs worldwide. The detection and treatment of TB at an early stage are critical for …

Purpose Chest radiography is the most common imaging modality for pulmonary diseases.
Due to its wide usage, there is a rich literature addressing automated detection of …

Chest X-ray is the most common radiology examinations for the diagnosis of thoracic
diseases. However, due to the complexity of pathological abnormalities and lack of detailed …