Segmenting brain tumors using pseudo-conditional random fields

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

Volumn 5241 LNCS, Issue PART 1, 2008, Pages 359-366

  Lee, Chi Hoon ^a,c   Wang, Shaojun ^b   Murtha, Albert ^a   Brown, Matthew R G ^a   Greiner, Russell ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

^b WRIGHT STATE UNIVERSITY   (United States)

^c YAHOO INC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN CANCER; BRAIN TUMOR SEGMENTATION; BRAIN TUMORS; CLASSIFICATION DECISION; CONDITIONAL RANDOM FIELD; DISCRIMINATIVE CLASSIFIERS; LOGISTIC REGRESSIONS; PERFORMANCE IMPROVEMENTS; RANDOM FIELDS; SPATIAL CONSTRAINTS;

CLASSIFIERS; COMPUTER SCIENCE; CONTENT BASED RETRIEVAL; IMAGE SEGMENTATION; LABELS; MEDICAL COMPUTING; SUPPORT VECTOR MACHINES;

TUMORS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN; BRAIN TUMOR; COMPUTER ASSISTED DIAGNOSIS; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; BRAIN NEOPLASMS; DATA INTERPRETATION, STATISTICAL; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 58849150453     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85988-8_43     Document Type: Conference Paper

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