Objective: This systematic literature review (SLR) aims to assess the performance of machine learning (ML) and deep learning (DL) in the detection of TB using chest radiography (chest x-ray [CXR]).

Abstract: Interpretation of chest radiographs (CXR) is a difficult but essential task for detecting thoracic abnormalities. Recent artificial intelligence (AI) algorithms have achieved ...

Abstract: Radiographic analysis (X-ray) is frequently used for evaluation or inspections of electronic hardware and components. Recently, there have been concerns within the technical community that X ...

Introduction A chest X-ray (CXR) is the most common imaging investigation performed worldwide. Advances in machine learning and computer vision technologies have led to the development of several ...

Introduction Interdisciplinary investigative study of the stomatognathic-cervical complex, necessary to understand the structure and biomechanics of the hyoid bone and cervical spine in Class I and II ...