Article

iGWAS: image-based genome-wide association of self-supervised deep phenotyping of human medical images

2022-05-26

Abstract excerpt

Existing imaging genetics studies have been mostly limited in scope by using imaging-derived phenotypes defined by human experts. Here, leveraging new breakthroughs in self-supervised deep representation learning, we propose a new approach, image-based genome-wide association study (iGWAS), for identifying genetic factors associated with phenotypes discovered from medical images using contrastive learning. Using r...

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Literature Corpus work: 8365a9a4-bd81-5959-80b4-5963bcbe12f1
DOI: 10.1101/2022.05.26.22275626

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