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          Institute: MPI für molekulare Zellbiologie und Genetik     Collection: MPI-CBG Publications 2013 (arch)     Display Documents



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ID: 688562.0, MPI für molekulare Zellbiologie und Genetik / MPI-CBG Publications 2013 (arch)
Unsupervised segmentation of noisy electron microscopy images using salient watersheds and region merging.
Authors:Navlakha, Saket; Ahammad, Parvez; Myers, Eugene W
Date of Publication (YYYY-MM-DD):2013
Title of Journal:BMC Bioinformatics
Volume:14
Sequence Number of Article:294
Copyright:not available
Audience:Experts Only
Intended Educational Use:No
Abstract / Description: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 and heterogeneity in EM images (e.g. different histological preparations, different organisms, different brain regions, etc.). Supervised techniques to address this problem are often helpful but require large sets of training data, which are often difficult to obtain in practice, especially across many conditions.
External Publication Status:published
Document Type:Article
Version Comment:Automatic journal name synchronization
Communicated by:Lib
Affiliations:MPI für molekulare Zellbiologie und Genetik
Identifiers:LOCALID:5563
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