MRI tissue classification with neighborhood statistics: A nonparametric, entropy-minimizing approach

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

Volumn 3750 LNCS, Issue , 2005, Pages 517-525

  Tasdizen, Tolga ^a   Awate, Suyash P ^a   Whitaker, Ross T ^a   Foster, Norman L ^b  

^a University of Utah   (United States)

^b UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATLAS-BASED INITIALIZATION; BRAIN TISSUE CLASSIFICATION; NONPARAMETRIC DENSITY ESTIMATION;

DATA PROCESSING; ENTROPY; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; PARAMETER ESTIMATION; PROBABILITY DENSITY FUNCTION; TISSUE;

BRAIN;

ALGORITHM; ARTICLE; ARTIFACT; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; ENTROPY; EVALUATION; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; MATHEMATICAL COMPUTING; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFACTS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; ENTROPY; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; MAGNETIC RESONANCE IMAGING; MODELS, BIOLOGICAL; MODELS, STATISTICAL; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUBTRACTION TECHNIQUE;

EID: 33744790641     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11566489_64     Document Type: Conference Paper

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