Multiscale Segmentation via Bregman Distances and Nonlinear Spectral Analysis

@article{Zeune2016MultiscaleSV,
  title={Multiscale Segmentation via Bregman Distances and Nonlinear Spectral Analysis},
  author={Leonie L Zeune and Guus van Dalum and Leon W. M. M. Terstappen and Stephan A. van Gils and Christoph Brune},
  journal={SIAM J. Imaging Sciences},
  year={2016},
  volume={10},
  pages={111-146}
}
In biomedical imaging reliable segmentation of objects (e.g., from small cells up to large organs) is of fundamental importance for automated medical diagnosis. New approaches for multiscale segmentation can considerably improve performance in case of natural variations in intensity, size, and shape. This paper aims at segmenting objects of interest based on shape contours and automatically finding multiple objects with different scales. The overall strategy of this work is to combine nonlinear… CONTINUE READING
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