Recent advances in deep learning have given rise to high performance in image analysis
operations in healthcare. Lung diseases are of particular interest, as most can be identified …

Chest imaging diagnostics is crucial in the medical area due to many serious lung diseases
like cancers and nodules and particularly with the current pandemic of Covid-19. Machine …

The recent developments of deep learning support the identification and classification of
lung diseases in medical images. Hence, numerous work on the detection of lung disease …

Deep learning is a genre of machine learning that allows computational models to learn
representations of data with multiple levels of abstraction using numerous processing layers …

As a promising method in artificial intelligence, deep learning has been proven successful in
several domains ranging from acoustics and images to natural language processing. With …

Pulmonary disease identification and characterization are among the most intriguing
research topics of recent years since they require an accurate and prompt diagnosis …

Thoracic diseases refer to disorders that affect the lungs, heart, and other parts of the rib
cage, such as pneumonia, novel coronavirus disease (COVID-19), tuberculosis …

Chest X-ray imaging plays a vital and indispensable role in the diagnosis of lungs, enabling
healthcare professionals to swiftly and accurately identify lung abnormalities. Deep learning …

In medical imaging, the last decade has witnessed a remarkable increase in the availability
and diversity of chest X-ray (CXR) datasets. Concurrently, there has been a significant …

Although lung cancer has been recognized to be the deadliest type of cancer, a good
prognosis and efficient treatment depend on early detection. Medical practitioners' burden is …