Robust parametric modeling approach based on domain knowledge for computer aided detection of vertebrae column metastases in MRI

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

Volumn 4584 LNCS, Issue , 2007, Pages 713-724

  Jerebko, A K ^a   Schmidt, G P ^b   Zhou, X ^a   Bi, J ^a   Anand, V ^a   Liu, J ^a   Schoenberg, S ^b   Schmuecking, I ^a   Kiefer, B ^c   Krishnan, A ^a  

^a SIEMENS CORPORATE RESEARCH   (United States)

^b UNIVERSITY OF MUNICH   (Germany)

^c SIEMENS AG   (Germany)

Author keywords

Computer aided diagnosis; Vertebrae metastases

Indexed keywords

ALGORITHMS; COMPUTER AIDED DIAGNOSIS; FISHER INFORMATION MATRIX; IMAGE CLASSIFICATION;

ANATOMICAL KNOWLEDGE; COMPUTER-AIDED DETECTION; ROBUST PARAMETRIC MODELING; VERTEBRAE COLUMN METASTASES;

MAGNETIC RESONANCE IMAGING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; CLUSTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; HUMAN; IMAGE ENHANCEMENT; METASTASIS; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SPINAL CORD TUMOR; THREE DIMENSIONAL IMAGING; WHOLE BODY IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MODELS, BIOLOGICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SPINAL NEOPLASMS; WHOLE BODY IMAGING;

EID: 34548417163     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73273-0_59     Document Type: Conference Paper

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