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10.1597/15-199 http://scihub22266oqcxt.onion/10.1597/15-199 C4841760!4841760 !26492185     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=26492185 &cmd=llinks): Failed to open stream: HTTP request failed! 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The 3D Facial Norms Database: Part 1 A Web-Based Craniofacial Anthropometric and Image Repository for the Clinical and Research Community |pdf=|usr=}}{{26492185 }} gab.com Text The 3D Facial Norms Database: Part 1 A Web-Based Craniofacial Anthropometric and Image Repository for the Clinical and Research Community JO: Cleft Palate Craniofac J http://www.kidney.de/pget.php?&tw=1&pmid=26492185 #FOAvip With the current widespread use of three-dimensional (3D) facial surface imaging in clinical and research environments, there is a growing demand for high-quality craniofacial norms based on 3D imaging technology. The principal goal of the 3D Facial Norms (3DFN) project was to create an interactive, Web-based repository of 3D facial images and measurements. Unlike other repositories, users can gain access to both summary-level statistics and individual-level data, including 3D facial landmark coordinates, 3D-derived anthropometric measurements, 3D facial surface images, and genotypes from every individual in the dataset. The 3DFN database currently consists of 2454 male and female participants ranging in age from 3 to 40 years. The subjects were recruited at four US sites and screened for a history of craniofacial conditions. The goal of this article is to introduce readers to the 3DFN repository by providing a general overview of the project, explaining the rationale behind the creation of the database, and describing the methods used to collect the data. Sex- and age-specific summary statistics (means and standard deviations) and growth curves for every anthropometric measurement in the 3DFN dataset are provided as a supplement available online. These summary statistics and growth curves can aid clinicians in the assessment of craniofacial dysmorphology. Twit Text FOAVip The 3D Facial Norms Database: Part 1 A Web-Based Craniofacial Anthropometric and Image Repository for the Clinical and Research Community ????Cleft Palate Craniofac J http://www.kidney.de/pget.php?&tw=1&pmid=26492185 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26492185 #FOAvip English Wikipedia <ref>{{Cite pmid|26492185 }}</ref> The 3D Facial Norms Database: Part 1 A Web-Based Craniofacial Anthropometric and Image Repository for the Clinical and Research Community #MMPMID26492185 Weinberg SM ; Raffensperger ZD ; Kesterke MJ ; Heike CL ; Cunningham ML ; Hecht JT ; Kau CH ; Murray JC ; Wehby GL ; Moreno LM ; Marazita ML Cleft Palate Craniofac J 2016[Nov]; 53 (6 ): e185-e197 PMID26492185 show ga With the current widespread use of three-dimensional (3D) facial surface imaging in clinical and research environments, there is a growing demand for high-quality craniofacial norms based on 3D imaging technology. The principal goal of the 3D Facial Norms (3DFN) project was to create an interactive, Web-based repository of 3D facial images and measurements. Unlike other repositories, users can gain access to both summary-level statistics and individual-level data, including 3D facial landmark coordinates, 3D-derived anthropometric measurements, 3D facial surface images, and genotypes from every individual in the dataset. The 3DFN database currently consists of 2454 male and female participants ranging in age from 3 to 40 years. The subjects were recruited at four US sites and screened for a history of craniofacial conditions. The goal of this article is to introduce readers to the 3DFN repository by providing a general overview of the project, explaining the rationale behind the creation of the database, and describing the methods used to collect the data. Sex- and age-specific summary statistics (means and standard deviations) and growth curves for every anthropometric measurement in the 3DFN dataset are provided as a supplement available online. These summary statistics and growth curves can aid clinicians in the assessment of craniofacial dysmorphology. |*Anthropometry [MESH] |*Databases, Factual [MESH] |*Internet [MESH] |Adolescent [MESH] |Adult [MESH] |Child [MESH] |Child, Preschool [MESH] |Face/*anatomy & histology [MESH] |Female [MESH] |Humans [MESH] |Imaging, Three-Dimensional [MESH] |Male [MESH]The 3D Facial Norms Database: Part 1 A Web-Based Craniofacial Anthrop(epmc).pdf DeepDyve Pubget Overpricing