Automatic 3D segmentation of multiphoton images: a key step for the quantification of human skin.

@article{Decencire2013Automatic3S,
  title={Automatic 3D segmentation of multiphoton images: a key step for the quantification of human skin.},
  author={Etienne Decenci{\`e}re and Emmanuelle Tancr{\`e}de-Bohin and Petr Dokl{\'a}dal and Serge Koudoro and Ana-Maria Pena and Th{\'e}r{\`e}se Baldeweck},
  journal={Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging},
  year={2013},
  volume={19 2},
  pages={115-24}
}
BACKGROUND/PURPOSE Multiphoton microscopy has emerged in the past decade as a useful noninvasive imaging technique for in vivo human skin characterization. However, it has not been used until now in evaluation clinical trials, mainly because of the lack of specific image processing tools that would allow the investigator to extract pertinent quantitative three-dimensional (3D) information from the different skin components. METHODS We propose a 3D automatic segmentation method of multiphoton… CONTINUE READING