Multiscale Segmentation via Bregman Distances and Nonlinear Spectral Analysis

Abstract

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 multi-scale 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… (More)
DOI: 10.1137/16M1074503

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Cite this paper

@article{Zeune2017MultiscaleSV, title={Multiscale Segmentation via Bregman Distances and Nonlinear Spectral Analysis}, author={Leonie 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={2017}, volume={10}, pages={111-146} }