Efficiency of Computer-Aided Facial Phenotyping (DeepGestalt) in Individuals With and Without a Genetic Syndrome: Diagnostic Accuracy Study

Efficiency of Computer-Aided Facial Phenotyping (DeepGestalt) in Individuals With and Without a Genetic Syndrome: Diagnostic Accuracy Study

BackgroundCollectively, an estimated 5% of the population have a genetic disease. Many of them feature characteristics that can be detected by facial phenotyping. Face2Gene CLINIC is an online app for facial phenotyping of patients with genetic syndromes. DeepGestalt, the neural network driving Face...

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Main Authors: Pantel, Jean Tori (Author), Hajjir, Nurulhuda (Author), Danyel, Magdalena (Author), Elsner, Jonas (Author), Abad-Perez, Angela Teresa (Author), Hansen, Peter (Author), Mundlos, Stefan (Author), Spielmann, Malte (Author), Horn, Denise (Author), Ott, Claus-Eric (Author), Mensah, Martin Atta (Author)
Format: Book
Published: JMIR Publications, 2020-10-01T00:00:00Z.
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