The position and appearance of the dermal epidermal junction (DEJ) is an important indicator of skin health. Optical coherence tomography (OCT) is used for noninvasive skin imaging but is impeded by the training required. DEJ delineation algorithms address this issue but with limited consideration of diversity in samples. In this study, marked images of a variety of body regions, age groups, and Fitzpatrick skin type (FST) groups were used. To find the DEJ automatically, image columns were matched to a body region-specific swatch of similar columns based on cosine similarity. Our results demonstrated the swatches method could determine around 87% of all automatic markings within 39 micrometers axially of the manually identified DEJ.
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