Purpose To develop and validate a fully automatic method for segmentation of paraspinal
muscles from 3D torso CT images. Methods We propose a novel learning-based method to …

Background The purpose of this study was to develop a deep learning approach to
automatically segment the scapular bone on magnetic resonance imaging (MRI) images …

Background and objective In patients treated with hip arthroplasty, the muscular condition
and presence of inflammatory reactions are assessed using magnetic resonance imaging …

Interactive image segmentation is the way to extract an object of interest with the guidance of
the user. The guidance from the user is an iterative process until the required object of …

Spine has several complicated joints and nerves that need to look after well during the
surgery procedure. Spine surgery in some ways easily creates scoliosis, degenerative disc …

Breast cancer is one of the most prevalent types of carcinogenic diseases worldwide,
meaning that is a pathology very appealing to be explored in terms of cure and methods to …

With the increasing use of three-dimensional (3D) models and Computer Aided Design
(CAD) in the medical domain, virtual surgical planning is now frequently used. Most of the …

Background: The purpose of this study was to develop a deep learning approach to
automatically segment the scapular bone on magnetic resonance imaging (MRI) images …