A novel automated multi-classification approach is proposed for the anticipation of lung
abnormalities using chest X-ray and CT images. The study leverages a publicly accessible …

In the field of medical imaging, the increasing demand for advanced computer-aided
diagnosis systems is crucial in radiography. Accurate identification of various diseases, such …

Pulmonary diseases are life-threatening diseases commonly observed worldwide, and
timely diagnosis of these diseases is essential. Meanwhile, increased use of Convolution …

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

Respiratory diseases account for a significant proportion of deaths and disabilities across
the world. Chest X-ray (CXR) analysis remains a common diagnostic imaging modality for …

Respiratory diseases impose a tremendous global health burden on large patient
populations. In this study, we aimed to develop DeepMRDTR, a deep learning-based …

Accurate and timely diagnosis of pulmonary diseases is critical in the field of medical
imaging. While deep learning models have shown promise in this regard, the current …

The constantly increasing number of computed tomography (CT) examinations poses major
challenges for radiologists. In this article, the additional benefits and potential of an artificial …

In the medical image processing domain, deep learning methodologies have outstanding
performance for disease classification using digital images such as X‐rays, magnetic …

Automatic and accurate thorax disease diagnosis in Chest X-ray (CXR) image plays an
essential role in clinical assist analysis. However, due to its imaging noise regions and the …