Automated segmentation of the cerebellar lobules using boundary specific classification and evolution

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

Volumn 7917 LNCS, Issue , 2013, Pages 62-73

  Bogovic, John A ^a   Bazin, Pierre Louis ^b   Ying, Sarah H ^c   Prince, Jerry L ^a  

^a Johns Hopkins University   (United States)

^b MAX PLANCK INSTITUTE FOR HUMAN COGNITIVE AND BRAIN SCIENCES   (Germany)

^c JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATED METHODS; AUTOMATED SEGMENTATION; AUTOMATIC CLASSIFICATION; BOUNDARY SURFACES; FUSION TECHNIQUES; GEOMETRIC DEFORMABLE MODELS; LEVEL SET; MULTIPLE OBJECTS;

DATA PROCESSING; MEDICAL IMAGING;

EYE MOVEMENTS;

ADULT; AGED; ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; CEREBELLUM; COMPUTER ASSISTED DIAGNOSIS; FEMALE; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; MALE; METHODOLOGY; MIDDLE AGED; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ADULT; AGED; ALGORITHMS; CEREBELLUM; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84901265264     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-38868-2_6     Document Type: Conference Paper

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