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An Artificial Intelligence Method for Phenotyping of OCT Scans Using Unsupervised and Self-supervised Deep Learning

2023-10-23

Abstract excerpt

Artificial intelligence (AI) has been increasingly used to analyze optical coherence tomography (OCT) images to better understand physiology and genetic architecture of ophthalmic diseases. However, to date, research has been limited by the inability to transfer OCT phenotypes from one dataset to another. In this work, we propose a new AI method for phenotyping and clustering of OCT-derived retinal layer thickness...

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Literature Corpus work
ac10dfe5-e49e-5e48-8c83-91a15f8542ee
DOI
10.1101/2023.10.20.563205
Open publication

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An Artificial Intelligence Method for Phenotyping of OCT Scans Using Unsupervised and Self-supervised Deep LearningDOI 10.1101/2023.10.20.563205
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