Cargando…
Diagnostically relevant facial gestalt information from ordinary photos
Craniofacial characteristics are highly informative for clinical geneticists when diagnosing genetic diseases. As a first step towards the high-throughput diagnosis of ultra-rare developmental diseases we introduce an automatic approach that implements recent developments in computer vision. This al...
Autores principales: | Ferry, Quentin, Steinberg, Julia, Webber, Caleb, FitzPatrick, David R, Ponting, Chris P, Zisserman, Andrew, Nellåker, Christoffer |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4067075/ https://www.ncbi.nlm.nih.gov/pubmed/24963138 http://dx.doi.org/10.7554/eLife.02020 |
Ejemplares similares
-
Editorial: Measuring progression in Multiple Sclerosis: Progressing beyond the ordinary
por: Koch, Carynn, et al.
Publicado: (2022) -
Gestalts at threshold could reveal Gestalts as predictions
por: Costa, Thiago Leiros, et al.
Publicado: (2021) -
Gestalt Reconsidered
por: Wheeler, Gordon
Publicado: (2013) -
Efficiency of Computer-Aided Facial Phenotyping (DeepGestalt) in Individuals With and Without a Genetic Syndrome: Diagnostic Accuracy Study
por: Pantel, Jean Tori, et al.
Publicado: (2020) -
Gestalt : de persona a persona
por: Salama Penhos, Héctor