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DiversePathsJ: diverse shortest paths for bioimage analysis.


ABSTRACT: Motivation:We introduce a formulation for the general task of finding diverse shortest paths between two end-points. Our approach is not linked to a specific biological problem and can be applied to a large variety of images thanks to its generic implementation as a user-friendly ImageJ/Fiji plugin. It relies on the introduction of additional layers in a Viterbi path graph, which requires slight modifications to the standard Viterbi algorithm rules. This layered graph construction allows for the specification of various constraints imposing diversity between solutions. Results:The software allows obtaining a collection of diverse shortest paths under some user-defined constraints through a convenient and user-friendly interface. It can be used alone or be integrated into larger image analysis pipelines. Availability and implementation:http://bigwww.epfl.ch/algorithms/diversepathsj. Contact:michael.unser@epfl.ch or fred.hamprecht@iwr.uni-heidelberg.de. Supplementary information:Supplementary data are available at Bioinformatics online.

SUBMITTER: Uhlmann V 

PROVIDER: S-EPMC5860364 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature

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DiversePathsJ: diverse shortest paths for bioimage analysis.

Uhlmann Virginie V   Haubold Carsten C   Hamprecht Fred A FA   Unser Michael M  

Bioinformatics (Oxford, England) 20180201 3


<h4>Motivation</h4>We introduce a formulation for the general task of finding diverse shortest paths between two end-points. Our approach is not linked to a specific biological problem and can be applied to a large variety of images thanks to its generic implementation as a user-friendly ImageJ/Fiji plugin. It relies on the introduction of additional layers in a Viterbi path graph, which requires slight modifications to the standard Viterbi algorithm rules. This layered graph construction allows  ...[more]

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