Volume visualization in serial electron microscopy using local variance

IEEE Symposium on Biological Data Visualization 2012, BioVis 2012 - Proceedings

Volumn , Issue , 2012, Pages 9-16

  Mayerich, David ^a   Hart, John C ^b  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b University of Illinois at Urbana Champaign   (United States)

Author keywords

I.4.10 Image Processing and Computer Vision : Image Representation Volumetric; I.5.1 Pattern Recognition : Models Statistical

Indexed keywords

ANATOMICAL FEATURES; ANATOMICAL INFORMATION; BIOLOGICAL NEURAL NETWORKS; BIOLOGICAL TISSUES; BRAIN TISSUE; CELL BODIES; COMPLEX STRUCTURE; DATA SETS; DESIGN TRANSFER; HIGH-THROUGHPUT; I.5.1 [PATTERN RECOGNITION]: MODELS - STATISTICAL; IMAGE REPRESENTATIONS; IMAGE STACKS; LOCAL SHAPE; LOCAL VARIANCE; NANOMETER-SCALE RESOLUTION; SUBMICROMETER RESOLUTION; TENSOR FIELDS; THREE DIMENSIONAL IMAGING; VOLUME VISUALIZATION; VOLUMETRIC DATA; VOLUMETRIC FEATURES; VOLUMETRIC IMAGES;

COMPUTER VISION; DATA VISUALIZATION; ELECTRON MICROSCOPES; ELECTRON MICROSCOPY; NEURAL NETWORKS; TRANSFER FUNCTIONS; VISUALIZATION; VOLUMETRIC ANALYSIS;

TENSORS;

EID: 84872243667     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BioVis.2012.6378578     Document Type: Conference Paper

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