The radiological assessment of muscle properties—size, mass, density (also termed
radiodensity), composition, and adipose tissue infiltration—is fundamental in muscle …

Sarcopenia is a muscle disease which previously was associated only with aging, but in
recent days it has been gaining more attention for its predictive value in a vast range of …

We propose a method for automatic segmentation of individual muscles from a clinical CT.
The method uses Bayesian convolutional neural networks with the U-Net architecture, using …

Rationale and Objectives To develop and evaluate an automated machine learning (ML)
algorithm for segmenting the paraspinous muscles on chest computed tomography (CT) …

In this paper, an unsupervised co-segmentation algorithm is proposed, which can be
applied to the image with multiple foreground objects simultaneously and the background …

Purpose Preoperative three-dimensional planning is important for total hip arthroplasty. To
simulate the placement of joint implants on computed tomography (CT), pelvis and femur …

Purpose Automatic muscle segmentation is critical for advancing our understanding of
human physiology, biomechanics, and musculoskeletal pathologies, as it allows for timely …

Muscle segmentation is a process relied upon to gather medical image-based muscle
characterisation, useful in directly assessing muscle volume and geometry, that can be used …

Purpose Thigh muscle group segmentation is important for assessing muscle anatomy,
metabolic disease, and aging. Many efforts have been put into quantifying muscle tissues …

Image segmentation is a crucial but challenging task that has many applications. In medical
imaging, for instance, intensity inhomogeneity and noise are common. In thigh muscle …