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Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data
Since deep neural networks require a large amount of training data, specifically images and corresponding ground truth labels, we furthermore propose a method to generate such a suitable training data set from Positron Emission Tomography/Computed Tomography image data.
Computed tomography data collection of the complete human mandible and valid clinical ground truth models
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.
Clinical evaluation of semi-automatic opensource algorithmic software segmentation of the mandibular bone: Practical feasibility and assessment of a new course of action
Therefore, the aim of this trial was to assess the practical feasibility of an easy available, functional stable and licensed-free segmentation approach to be used in the clinical practice.
Computer-aided position planning of miniplates to treat facial bone defects
In this contribution, a software system for computer-aided position planning of miniplates to treat facial bone defects is proposed.
