Pilot study of semiautomated localization of the dermal/epidermal junction in reflectance confocal microscopy images of skin.

ABSTRACT: Reflectance confocal microscopy (RCM) continues to be translated toward the detection of skin cancers in vivo. Automated image analysis may help clinicians and accelerate clinical acceptance of RCM. For screening and diagnosis of cancer, the dermal/epidermal junction (DEJ), at which melanomas and basal cell carcinomas originate, is an important feature in skin. In RCM images, the DEJ is marked by optically subtle changes and features and is difficult to detect purely by visual examination. Challenges for automation of DEJ detection include heterogeneity of skin tissue, high inter-, intra-subject variability, and low optical contrast. To cope with these challenges, we propose a semiautomated hybrid sequence segmentation/classification algorithm that partitions z-stacks of tiles into homogen

SUBMITTER: Kurugol S 

PROVIDER: S-EPMC3077965 | biostudies-literature | 2011 Mar

REPOSITORIES: biostudies-literature