Purpose Automatic bone surfaces segmentation is one of the fundamental tasks of
ultrasound (US)-guided computer-assisted orthopedic surgery procedures. However, due to …

Various imaging artifacts, low signal-to-noise ratio, and bone surfaces appearing several
millimeters in thickness have hindered the success of ultrasound (US) guided computer …

Purpose Ultrasound (US) provides real-time, two-/three-dimensional safe imaging. Due to
these capabilities, it is considered a safe alternative to intra-operative fluoroscopy in various …

The application of ultrasound (US) imaging in orthopedic surgery has always been a
research direction. However, the various problems of US imaging hinder the development of …

Accurate, robust, and real-time segmentation of bone surfaces is an essential objective for
ultrasound (US) guided computer assisted orthopedic surgery (CAOS) procedures. In this …

Due to imaging artifacts and low signal-to-noise ratio in ultrasound images, automatic bone
surface segmentation networks often produce fragmented predictions that can hinder the …

Automatic segmentation of bone surfaces from ultrasound images is of great interest in the
ultrasound-guided computer assisted orthopedic surgery field. These automatic …

To provide a safe alternative, for intra-operative fluoroscopy, ultrasound (US) has been
investigated as an alternative safe imaging modality for various computer assisted …

Purpose A new algorithm, based on fully convolutional networks (FCN), is proposed for the
automatic localization of the bone interface in ultrasound (US) images. The aim of this paper …

Ultrasound (US) guidance is of increasing interest for minimally invasive procedures in
orthopedics due to its safety and cost benefits. However, bone segmentation from US …