Journal article 574 views
Scar tissue classification using nonlinear optical microscopy and discriminant analysis / Timothy Andrew Kelf, Martin Gosnell, Bjornar Sandnes, Anna E Guller, Anatoly B Shekhter, Andrei V Zvyagin
Journal of Biophotonics, Volume: 5, Issue: 2, Pages: 159 - 167
Swansea University Author: Bjornar Sandnes
Full text not available from this repository: check for access using links below.
Scar tissue classification using nonlinear optical microscopy and discriminant analysis
|Published in:||Journal of Biophotonics|
Check full text
No Tags, Be the first to tag this record!
The paper demonstrated a novel automated procedure for classification of human scars according to maturation stage, achieving accuracy as high as 96%. Non-linear optical microscopy was used to isolate the characteristic collagen morphologies, and image analysis combined with discriminant analysis and genetic algorithms were used to identify and classify the scar types. The methodology holds promise for express scar diagnosis, deemed especially useful in the paediatric practices. The paper further demonstrates the first use of unbiased computer based methods to probe the heterogeneous composite scar tissue organization.
College of Engineering