Efficient semi-automatic 3D segmentation for neuron tracing in electron microscopy images

Journal of Neuroscience Methods

Volumn 246, Issue , 2015, Pages 13-21

  Jones, Cory ^a,b   Liu, Ting ^a,b   Cohan, Nathaniel Wood ^c   Ellisman, Mark ^c   Tasdizen, Tolga ^a,b  

^a UNIVERSITY OF UTAH   (United States)

^b Department of Electrical and Computer Engineering   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

3D segmentation; Connectomics; Electron microscopy; Image segmentation; Neuron reconstruction; Semi automatic segmentation

Indexed keywords

ARTICLE; CONNECTOME; CONTROLLED STUDY; ELECTRON MICROSCOPY; GEOMETRY; IMAGE ANALYSIS; INTERMETHOD COMPARISON; MOUSE; NEURITE; NONHUMAN; PRIORITY JOURNAL; SEMI AUTOMATIC METHOD; THREE DIMENSIONAL IMAGING; TRAINING; VENTRAL ROOT; ANIMAL; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; METABOLISM; NERVE CELL; SCANNING ELECTRON MICROSCOPY; ULTRASTRUCTURE;

ANIMALS; CONNECTOME; IMAGING, THREE-DIMENSIONAL; MICROSCOPY, ELECTRON, SCANNING; MODELS, NEUROLOGICAL; NEURONS; PATTERN RECOGNITION, AUTOMATED;

EID: 84925443344     PISSN: 01650270     EISSN: 1872678X     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2015.03.005     Document Type: Article

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