CT vertebral segmentation plays an essential role in various clinical applications, such as
computer‐assisted surgical interventions, assessment of spinal abnormalities, and vertebral …

Vertebral labelling and segmentation are two fundamental tasks in an automated spine
processing pipeline. Reliable and accurate processing of spine images is expected to …

Precise segmentation and anatomical identification of the vertebrae provides the basis for
automatic analysis of the spine, such as detection of vertebral compression fractures or other …

Abstract Purpose of Review Statistical models of shape and appearance have increased
their popularity since the 1990s and are today highly prevalent in the field of medical image …

Recently significant progress has been made in pedestrian detection, but it remains
challenging to achieve high performance in occluded and crowded scenes. It could be …

Automatic segmentation of medical images is very important for computer-aided diagnosis.
The U-shaped and skip-connection based on convolution (UNet) has achieved the most …

Pathological conditions that cause instability of the spine are commonly treated by vertebral
fixation involving pedicle screw placement surgery. However, existing methods for …

A probabilistic group-wise similarity registration technique based on Student's t-mixture
model (TMM) and a multi-resolution extension of the same (mr-TMM) are proposed in this …

Scoliosis, spinal deformity and vertebral spondylolisthesis are spinal disorders with high
incidence, which seriously affect people's lives and health. CT is an important medical tool …

Spinal screw placement is a challenging task due to small bone corridors and high risk of
neurological or vascular complications, benefiting from precision guidance/navigation and …