Article

Neural networks for classification and image generation of aging in genetic syndromes

2021-12-11

Abstract excerpt

In medical genetics, one application of neural networks is the diagnosis of genetic diseases based on images of patient faces. While these applications have been validated in the literature with primarily pediatric subjects, it is not known whether these applications can accurately diagnose patients across a lifespan. We aimed to extend previous works to determine whether age plays a factor in facial diagnosis, as...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 4808a734-308a-5b78-8b30-13d8f6c68b6f
DOI: 10.1101/2021.12.09.21267472

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Neural networks for classification and image generation of aging in genetic syndromesDOI 10.1101/2021.12.09.21267472Read

Proof-of-principle neural network models for classification, attribution, creation, style-mixing, and morphing of image data for genetic conditionsSemantic proximity Read

Development and evaluation of a machine learning-based point-of-care screening tool for genetic syndromes in children: a multinational retrospective study.Semantic proximity Read

Next-generation phenotyping using computer vision algorithms in rare genomic neurodevelopmental disorders.Semantic proximity Read

Computational facial analysis for rare Mendelian disorders.Semantic proximity Read

Evaluation of a New Inclusive Next-Generation Synthetic Face Tool for Dysmorphology.Semantic proximity Read

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

Diagnosis and Screening of Velocardiofacial Syndrome by Evaluating Facial Photographs Using a Deep Learning-Based AlgorithmSemantic proximity Read

GestaltGAN: Synthetic photorealistic portraits of individuals with rare genetic disordersSemantic proximity Read

Comparing facial feature extraction methods in the diagnosis of rare genetic syndromesSemantic proximity Read

Advances in computer-assisted syndrome recognition by the example of inborn errors of metabolism.Semantic proximity Read

GestaltGAN: Synthetic photorealistic portraits of individuals with rare genetic disordersSemantic proximity Read

Advances in computer-assisted syndrome recognition and differentiation in a set of metabolic disordersSemantic proximity Read