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Automated segmentation of en face choroidal images obtained by optical coherent tomography by machine learning.

Japanese journal of ophthalmology Nov 1, 2018
PURPOSE: To develop an automated method to segment the choroidal layers of en face optical coherent tomography (OCT) images by machine learning.
Humans Machine Learning Prospective Studies Female Reproducibility of Results Aged Aged, 80 and over Young Adult Adult Cross-Sectional Studies Male Middle Aged Imaging, Three-Dimensional Choroid Tomography, Optical Coherence Healthy Volunteers Retinal Pigment Epithelium
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