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 …

Localization and segmentation of vertebral bodies from spine CT volumes are crucial for
pathological diagnosis, surgical planning, and postoperative assessment. However, fully …

Automatic vertebrae localization and segmentation in computed tomography (CT) are
fundamental for spinal image analysis and spine surgery with computer-assisted surgery …

Segmentation of histopathology sections is a necessary preprocessing step for digital
pathology. Due to the large variability of biological tissue, machine learning techniques have …

Segmentation in 3-D scans is playing an increasingly important role in current clinical
practice supporting diagnosis, tissue quantification, or treatment planning. The current 3-D …

A multiple center milestone study of clinical vertebra segmentation is presented in this
paper. Vertebra segmentation is a fundamental step for spinal image analysis and …

Statistical shape models (SSM) are used to introduce shape priors in the segmentation of
medical images. However, such models require large training datasets in the case of multi …

Background Spinal diseases are burdening an increasing number of patients. And fully
automatic vertebrae segmentation for CT images with arbitrary field of views (FOVs), has …