Unsupervised delineation of stratum corneum using reflectance confocal microscopy and spectral clustering

Background Measuring the thickness of the stratum corneum (SC) in vivo is often required in pharmacological, dermatological, and cosmetological studies. Reflectance confocal microscopy (RCM) offers a non‐invasive imaging‐based approach. However, RCM‐based measurements currently rely on purely visual...

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Veröffentlicht in:	Skin research and technology 2017-05, Vol.23 (2), p.176-185
Hauptverfasser:	Bozkurt, A., Kose, K., Alessi‐Fox, C., Dy, J. G., Brooks, D. H., Rajadhyaksha, M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Dermoscopy - methods Epidermis - cytology Humans Image Interpretation, Computer-Assisted - methods Microscopy, Confocal - methods Microscopy, Interference - methods Observer Variation Pattern Recognition, Automated - methods reflectance confocal microscopy Reproducibility of Results Sensitivity and Specificity Skin Aging - pathology spectral clustering stratum corneum Unsupervised Machine Learning unsupervised segmentation
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