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Autoencoder-based phenotyping of ophthalmic images highlights genetic loci influencing retinal morphology and provides informative biomarkers

2023-06-20

Abstract excerpt

<h4>ABSTRACT</h4> Genome-wide association studies (GWAS) have been remarkably successful in identifying associations between genetic variation and imaging-derived phenotypes. To date, the main focus of these analyses has been established, clinically-used imaging features. Here, we sought to investigate if deep learning approaches can help detect more nuanced patterns of image variability. To this end, we used an a...

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Literature Corpus work
2eebbfb1-f17e-53d5-9996-60b8740f496b
DOI
10.1101/2023.06.15.23291410
Open publication

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Autoencoder-based phenotyping of ophthalmic images highlights genetic loci influencing retinal morphology and provides informative biomarkersDOI 10.1101/2023.06.15.23291410
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