Semi-supervised and active learning for automatic segmentation of Crohn's disease

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

Volumn 8150 LNCS, Issue PART 2, 2013, Pages 214-221

  Mahapatra, Dwarikanath ^a   Schüffler, Peter J ^a   Tielbeek, Jeroen A W ^b   Vos, Franciscus M ^b,c   Buhmann, Joachim M ^a  

^a ETH ZURICH   (Switzerland)

^b ACADEMIC MEDICAL CENTER   (Netherlands)

^c DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC DETECTION; AUTOMATIC SEGMENTATIONS; CONTEXT INFORMATION; NOVEL INFORMATION; SEGMENTATION ACCURACY; SEMANTIC KNOWLEDGE; SEMI-SUPERVISED LEARNING (SSL); SUPERVISED METHODS;

DECISION TREES; DISEASES; MAGNETIC RESONANCE; SEMANTICS;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; CROHN DISEASE; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CROHN DISEASE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, BIOLOGICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84885904347     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40763-5_27     Document Type: Conference Paper

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