Segmenting images by combining selected atlases on manifold

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

Volumn 6893 LNCS, Issue PART 3, 2011, Pages 272-279

  Cao, Yihui ^a   Yuan, Yuan ^a   Li, Xuelong ^a   Turkbey, Baris ^b   Choyke, Peter L ^b   Yan, Pingkun ^a  

^a XI AN INSTITUTE OF OPTICS AND PRECISION MECHANICS   (China)

^b NATIONAL CANCER INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATLAS-BASED SEGMENTATION; CRITICAL FACTORS; EUCLIDEAN DISTANCE; HIGH DIMENSIONAL SPACES; INPUT IMAGE; LOW-DIMENSIONAL MANIFOLDS; ORIGINAL IMAGES; PATIENT IMAGES; SEGMENTATION PERFORMANCE; TRAINING SAMPLE;

MEDICAL COMPUTING; MEDICAL IMAGING;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER; COMPUTER ASSISTED DIAGNOSIS; COMPUTER PROGRAM; DIAGNOSTIC IMAGING; FACTUAL DATABASE; HUMAN; METHODOLOGY; REPRODUCIBILITY; STATISTICAL MODEL;

ALGORITHMS; COMPUTERS; DATABASES, FACTUAL; DIAGNOSTIC IMAGING; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SOFTWARE;

EID: 82255183319     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23626-6_34     Document Type: Conference Paper

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