Computed tomography data collection of the complete human mandible and valid clinical ground truth models.

ABSTRACT: Image-based algorithmic software segmentation is an increasingly important topic in many medical fields. Algorithmic segmentation is used for medical three-dimensional visualization, diagnosis or treatment support, especially in complex medical cases. However, accessible medical databases are limited, and valid medical ground truth databases for the evaluation of algorithms are rare and usually comprise only a few images. Inaccuracy or invalidity of medical ground truth data and image-based artefacts also limit the creation of such databases, which is especially relevant for CT data sets of the maxillomandibular complex. This contribution provides a unique and accessible data set of the complete mandible, including 20 valid ground truth segmentation models originating from 10 CT scans from

SUBMITTER: Wallner J 

PROVIDER: S-EPMC6350631 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature