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. 2021 Jul 8;139(9):964–973. doi: 10.1001/jamaophthalmol.2021.2273

Video. Whole-Volume Automated Segmentation of Retinal Optical Coherence Tomography (OCT) Images Using Deep Learning.

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Examples of segmentations, model successes, model failures, and model-specialist disagreements when using deep learning to quantify volumes of clinically relevant pathology in OCT scans of patents with age-related macular degeneration and diabetic macular edema. See article text and eFigures 1-12 in the Supplement for full details.