Learning context cues for synapse segmentation

IEEE Transactions on Medical Imaging

Volumn 32, Issue 10, 2013, Pages 1864-1877

  Becker, Carlos ^a   Ali, Karim ^b,c   Knott, Graham ^a   Fua, Pascal ^a  

^a EPFL   (Switzerland)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c University of Massachusetts Lowell   (United States)

Author keywords

AdaBoost; Connectomics; Electron microscopy; Pose indexing; Synapse segmentation

Indexed keywords

AUTOMATED SEGMENTATION; CONNECTOMICS; IMAGE FEATURES; LEARNING CONTEXT; ORIENTATION STATISTICS; POSE-INDEXING; SPATIAL CONTEXT; TEXTURAL PROPERTIES;

ADAPTIVE BOOSTING; BRAIN; DATA PROCESSING; ELECTRON MICROSCOPES; ELECTRON MICROSCOPY;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; ELECTRON MICROSCOPY; KERNEL METHOD; MACHINE LEARNING; NERVE CELL MEMBRANE; NONHUMAN; PERCEPTRON; POSTSYNAPTIC DENSITY; POSTSYNAPTIC MEMBRANE; RANDOM FOREST; SUPPORT VECTOR MACHINE; SYNAPSE; SYNAPSE VESICLE; TRANSMISSION ELECTRON MICROSCOPY;

ALGORITHMS; ANIMALS; BRAIN; CONNECTOME; DATABASES, FACTUAL; IMAGE PROCESSING, COMPUTER-ASSISTED; MICROSCOPY, ELECTRON; RATS; SYNAPSES;

EID: 84885143291     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2013.2267747     Document Type: Article

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