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Fully-automated analysis of muscle fiber images with combined region and edge based active contours

Thomas Brox, Y. Kim, J. Weickert, W. Feiden
Bildverarbeitung in der Medizin, Springer: 86-90, Mar. 2006
Abstract: This paper presents a new approach to automated muscle fiber analysis based on segmenting myofibers with combined region and edge based active contours. It provides reliable and fully-automated processing, thus, enabling time-saving batch processing of the entire biopsy sample stemming from routinely HE-stained cryostat sections. The method combines color, texture, and edge cues in a level set based active contour model succeeded by a refinement with morphological filters. False-positive segmentations as compared to former methods are minimized. A quantitative comparison between manual and automated analysis of muscle fibers images did not reveal any significant differences.


Other associated files : brox_bvm06.pdf [2.9MB]  

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BibTex reference

@InProceedings{Bro06l,
  author       = "T. Brox and Y.-J. Kim and J. Weickert and W. Feiden",
  title        = "Fully-automated analysis of muscle fiber images with combined region and edge based active contours",
  booktitle    = "Bildverarbeitung in der Medizin",
  pages        = "86-90",
  month        = "Mar.",
  year         = "2006",
  publisher    = "Springer",
  url          = "http://lmbweb.informatik.uni-freiburg.de/Publications/2006/Bro06l"
}

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