1. Deep learning for OCT image analysis

    Deep learning for OCT image analysis

    Millions of optical coherence tomography (OCT) images are acquired each year, providing anatomical insights to diagnose numerous medical conditions, including diabetic macular edema (DME). Deep learning is a form of artificial intelligence (AI) in which large amounts of data are processed to combine key factors and predict an output. Deep learning needs an ample database to reach conclusions. OCT generates abundant data, but needs more-efficient data analysis. It’s a natural fit, and an area of burgeoning activity (see figure).

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