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Reflectance confocal microscopy (RCM) is a powerful tool to visualize the skin layers at cellular resolution. The dermalepidermal junction (DEJ) is a thin complex 3D structure. It appears as a low-contrasted structure in confocal en-face sections, which is difficult to recognize visually, leading to uncertainty in the classification. In this article, we propose an automated method for segmenting the DEJ with reduced uncertainty. The proposed approach relies on a 3D Conditional Random Field todoi:10.1109/isbi.2017.7950513 dblp:conf/isbi/RobicPNCT17 fatcat:f7zo64t74fbqbnznjukpev2qvi