Name
Title | ||
|---|---|---|
Automated Quantification Of The Epidermal Aging Process Using In-Vivo Confocal Microscopy |
Abstract | ||
|---|---|---|
Reflectance confocal microscopy (RCM) is a powerful tool to visualize the skin layers at cellular resolution. The epidermal layer appears as a honeycomb pattern, whose regularity decreases with age. Our aim is to provide a method to automatically quantify the regularity of the honeycomb pattern. The proposed strategy relies on a cell-level supervised classification as regular or irregular using spatial information given by a prior segmentation. The aggregated scores defined by the classification results show significant correlation with chronological aging and photo-aging. Thus, our method enables practitioners to more objectively assess the quality of the epidermal layers on large cohort of subjects. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/ISBI.2016.7493486 | 2016 IEEE 13TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI) |
Keywords | Field | DocType |
Reflectance confocal microscopy, skin aging, image segmentation, classification | Spatial analysis,Computer vision,Pattern recognition,Computer science,Segmentation,Skin Aging,In vivo,Image segmentation,Artificial intelligence,Reflectance confocal microscopy,Honeycomb Pattern,Confocal microscopy | Conference |
ISSN | Citations | PageRank |
1945-7928 | 1 | 0.43 |
References | Authors | |
1 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. Robic | 1 | 1 | 0.77 |
| Alex Nkengne | 2 | 1 | 1.11 |
| Benjamin Perret | 3 | 102 | 12.78 |
| Michel Couprie | 4 | 904 | 65.04 |
| Hugues Talbot | 5 | 871 | 80.69 |