Novel algorithm to automatically detect DEJ

Spencer Borbas; Julia Roma May; Fiona Gruzmark; Carolina Puyana; Maria Tsoukas; Kamran Avanaki

doi:10.1117/12.3003512

12 March 2024 Novel algorithm to automatically detect DEJ

Spencer Borbas, Julia Roma May, Fiona Gruzmark, Carolina Puyana, Maria Tsoukas, Kamran Avanaki

Author Affiliations +

Proceedings Volume 12816, Photonics in Dermatology and Plastic Surgery 2024; 128160H (2024) https://doi.org/10.1117/12.3003512
Event: SPIE BiOS, 2024, San Francisco, California, United States

Conference Poster

Abstract

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.

Citation Download Citation

Spencer Borbas, Julia Roma May, Fiona Gruzmark, Carolina Puyana, Maria Tsoukas, and Kamran Avanaki "Novel algorithm to automatically detect DEJ", Proc. SPIE 12816, Photonics in Dermatology and Plastic Surgery 2024, 128160H (12 March 2024); https://doi.org/10.1117/12.3003512

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