Computational characterization of reflectance confocal microscopy features reveals potential for automated photoageing assessment-Reference-Cited by-同舟云学术

Computational characterization of reflectance confocal microscopy features reveals potential for automated photoageing assessment

Published:2013-06-25 Issue:7 Volume:22 Page:458-463
ISSN:0906-6705
Container-title:Experimental Dermatology
language:en
Short-container-title:Exp Dermatol

Author:

Raphael Anthony P.¹,Kelf Timothy A.¹²,Wurm Elizabeth M. T.¹,Zvyagin Andrei V.²,Soyer Hans Peter¹,Prow Tarl W.¹

Affiliation:

1. Dermatology Research Centre; School of Medicine; Translational Research Institute; Princess Alexandra Hospital; The University of Queensland; Brisbane Qld Australia

2. MQ BioFocus Research Centre; Macquarie University; Sydney NSW Australia

Publisher

Wiley

Subject

Dermatology,Molecular Biology,Biochemistry

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/exd.12176/fullpdf

Reference23 articles.

1. Strategies for assessing the degree of photodamage to skin: a systematic review of the literature

2. Effectiveness and limitations of reflectance confocal microscopy in detecting persistence of basal cell carcinomas: A preliminary study

3. Reflectance Confocal Microscopy—State-of-Art and Research Overview

5. Optical Coherence Tomography for Imaging of Skin and Skin Diseases

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