Unsupervised segmentation of noisy electron microscopy images using salient watersheds and region merging

BACKGROUND: Segmenting electron microscopy (EM) images of cellular and subcellular processes in the nervous system is a key step in many bioimaging pipelines involving classification and labeling of ultrastructures. However, fully automated techniques to segment images are often susceptible to noise...

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Detalles Bibliográficos
Autores principales: Navlakha, Saket, Ahammad, Parvez, Myers, Eugene W
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3852992/
https://www.ncbi.nlm.nih.gov/pubmed/24090265
http://dx.doi.org/10.1186/1471-2105-14-294

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3852992/
https://www.ncbi.nlm.nih.gov/pubmed/24090265
http://dx.doi.org/10.1186/1471-2105-14-294

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