Reflectance confocal microscopy (RCM) is a non-invasive and in-vivo imaging modality, which can take images from different depths of the human skin. A challenging problem is to detect a clinically important subsurface section of the skin, the Dermis/Epidermis junction, in RCM images. This is a tough problem because of the huge variation of texture and intensity features across both intersubject and intrasubject tissues. On the other hand, there's almost no wrinkle-free part of the skin. This well-known phenomenon can be used as a histological clue for guessing the probability of being Dermis or Epidermis in the neighboring regions. In this paper, we develop a two-step wrinkle detector for RCM images. By analyzing the results on different RCM images, we conclude it has high sensitivity and specificity, but a relatively lower Jaccard index.
['Jamshid Sourati', 'Dana H. Brooks', 'Jennifer G. Dy', 'Esra Ataer-Cansizoglu', 'Deniz Erdogmus', 'Milind Rajadhyaksha']
Unsupervised wrinkle detection in reflectance confocal microscopy images of the human skin