Geometrical consistent 3D tracing of neuronal processes in ssTEM data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6362 LNCS, Issue PART 2, 2010, Pages 209-216

  Kaynig, Verena ^a   Fuchs, Thomas J ^a   Buhmann, Joachim M ^a  

^a ETH ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

3D RECONSTRUCTION; AUTOMATIC PROCESSING; CONSISTENCY CONSTRAINTS; ELECTRON MICROSCOPY IMAGES; EUCLIDEAN DISTANCE; FUNCTIONAL STRUCTURE; GEOMETRY EXTRACTION; LIMITING FACTORS; NEURONAL PROCESS; PROBABILISTIC OUTPUT; RANDOM FOREST CLASSIFIER; SERIAL SECTION; SPLIT-AND-MERGE;

DECISION TREES; MEDICAL COMPUTING;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NERVE CELL; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING; TRANSMISSION ELECTRON MICROSCOPY; ULTRASTRUCTURE;

ALGORITHMS; BRAIN; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MICROSCOPY, ELECTRON, TRANSMISSION; NEURONS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84866679959     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15745-5_26     Document Type: Conference Paper

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