New technologies are transforming medicine, and this revolution starts with data. Health
data, clinical images, genome sequences, data on prescribed therapies and results …

By leveraging the recent development of artificial intelligence algorithms, several medical
sectors have benefited from using automatic segmentation tools from bioimaging to segment …

Ultrasonography (US) is noninvasive and offers real-time, low-cost, and portable imaging
that facilitates the rapid and dynamic assessment of musculoskeletal components …

Ultrasound imaging is a patient-friendly and robust technique for studying physiological and
pathological muscles. An automatic deep learning (DL) system for the analysis of ultrasound …

Knee osteoarthritis is a challenging problem affecting many adults around the world. There
are currently no medications that cure knee osteoarthritis. The only way to control the …

The recent advancements in the surging field of Deep Learning (DL) have revolutionized
every sphere of life, and the healthcare domain is no exception. The enormous success of …

Ultrasound (US) is generally preferred because it is of low-cost, safe, and non-invasive. US
image segmentation is crucial in image analysis. Recently, deep learning-based methods …

Artificial intelligence (AI) is increasingly used in clinical practice for musculoskeletal imaging
tasks, such as disease diagnosis and image reconstruction. AI applications in …

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 …

Ultrasound (US) imaging is a complex imaging modality, where the tissues are typically
characterised by an inhomogeneous image intensity and by a variable image definition at …