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 …

Recently, deep learning has proven to be a successful technique especially in medical
image analysis. This paper aims to highlight the importance of deep learning architectures in …

Chest X-ray radiography (CXR) is among the most frequently used medical imaging
modalities. It has a preeminent value in the detection of multiple life-threatening diseases …

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 …

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 radiographs are widely used in the medical domain and at present, chest X-radiation
particularly plays an important role in the diagnosis of medical conditions such as …

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 …

Medical imaging methods identify and record anomalies in the human body. These
techniques are critical for assessing, diagnosing, and treating lung illnesses. Chest …

Classification of diseases from biomedical images is a fast growing emerging field of
research. In this regard, chest X-Rays (CXR) are one of the most widely used medical …

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 …