Purpose Measurement of muscle mass is paramount in the screening and diagnosis of
sarcopenia. Besides muscle quantity however, also quality assessment is important …

B-mode ultrasound imaging is used extensively in medicine. Hence, there is a need to have
efficient segmentation tools to aid in computer-aided diagnosis, image-guided interventions …

Objective To evaluate the use of ultrasound coupled with machine learning (ML) and deep
learning (DL) techniques for automated or semi-automated classification of myositis …

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 …

In vivo measurements of muscle architecture (ie the spatial arrangement of muscle fascicles)
are routinely included in research and clinical settings to monitor muscle structure, function …

Background and objective Deep learning approaches are common in image processing, but
often rely on supervised learning, which requires a large volume of training images, usually …

Objective: Powered assistive devices need improved control intuitiveness to enhance their
clinical adoption. Therefore, the intent of individuals should be identified and the device …

Automatically delineating the deep and superficial aponeurosis of the skeletal muscles from
ultrasound images is important in many aspects of the clinical routine. In particular, finding …

Automatically measuring a muscle's cross-sectional area is an important application in
clinical practice that has been studied extensively in recent years for its ability to assess …

Electrical impedance methods have been used as evaluation tools in biological and medical
science for well over 100 years. However, only recently have these techniques been applied …