Abstract Machine learning (ML) is a computerized analytical technique that is being
increasingly employed in biomedicine. ML often provides an advantage over explicitly …

Ultrasonography (US) has become a valuable imaging tool for the examination of the
musculoskeletal system. It provides important diagnostic information and it can also be very …

Artificial intelligence techniques, specifically deep learning, have already affected daily life
in a wide range of areas. Likewise, initial applications have been explored in rheumatology …

Clinical evaluation of rheumatic and musculoskeletal diseases through images is a
challenge for the beginner rheumatologist since image diagnosis is an expert task with a …

The grading evaluation of metacarpophalangeal rheumatoid arthritis (RA) ultrasonic images
is a diagnostic challenge that heavily relies on the expertise of trained sonographers. This …

The medical diagnosis method is complex and consisting of a lot of vagueness due to
imprecision and subjectivity, Magnetic resonance images have a great deal of resonance …

Since the first quantum neural network based on quantum computing was proposed by
famous scholar Kak, much attention has been taken focus on designing new quantum …

Rheumatoid arthritis (RA) is a chronic autoimmune disease that can result in considerable
disability and pain. The metacarpophalangeal (MCP) joint is the most common diseased …

The fringe noises disrupt the precise measurement of the atom distribution in the process of
the absorption images. The fringe removal algorithms have been proposed to reconstruct …

Most models of quantum neural networks are optimized based on gradient descent, and like
classical neural networks, gradient descent suffers from the barren plateau phenomenon …