Authors: | Kose, K.; Bozkurt, A.; Fox, C. A.; Gill, M.; Brooks, D.; Dy, J.; Rajadhyaksha, M. |
Title: | Detection of the DEJ and segmentation of its morphological patterns in RCM images of melanocytic skin lesions |
Conference Title: | Biomedical Optics 2020 |
Abstract: | Reflectance confocal microscopy (RCM) provides a real-time noninvasive (in-vivo) proxy for histology. Here, we present machine learning models to delineate skin layers in RCM image stacks and analyze morphological patterns in RCM mosaics of skin. © 2020 The Author(s) |
Keywords: | in-vivo; reflectance confocal microscopies; image segmentation; real time; image stacks; melanocytic skin lesions; morphological patterns; machine learning models; skin layer |
Journal Title | OSA Technical Digest |
Conference Dates: | 2020 Apr 20-23 |
Conference Location: | Virtual |
ISBN: | 978-1-943580-74-3 |
Publisher: | Osa The Optical Society |
Date Published: | 2020-01-01 |
Start Page: | MW2A.1 |
Language: | English |
DOI: | 10.1364/microscopy.2020.Mw2a.1 |
PROVIDER: | scopus |
DOI/URL: | |
Notes: | Conference Paper -- Conference originally scheduled to take place in Washington DC, but moved to virtual format due to Covid 19 pandemic -- Export Date: 1 October 2020 -- Source: Scopus |