DiversePathsJ: diverse shortest paths for bioimage analysis.
Bioinformatics
; 34(3): 538-540, 2018 02 01.
Article
en En
| MEDLINE
| ID: mdl-29029024
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.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Procesamiento de Imagen Asistido por Computador
/
Programas Informáticos
Límite:
Animals
Idioma:
En
Revista:
Bioinformatics
Asunto de la revista:
INFORMATICA MEDICA
Año:
2018
Tipo del documento:
Article
País de afiliación:
Suiza