Active-contour-based image segmentation using machine learning techniques

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

Volumn 4791 LNCS, Issue PART 1, 2007, Pages 891-899

  Etyngier, Patrick ^a   Ségonne, Florent ^a   Keriven, Renaud ^a  

^a UNIVERSITÉ PARIS EST   (France)

Author keywords

[No Author keywords available]

Indexed keywords

EMBEDDED SYSTEMS; LEARNING SYSTEMS;

DELAUNAY TRIANGULATION; VENTRICLE NUCLEI;

IMAGE SEGMENTATION;

ADOLESCENT; ADULT; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN VENTRICLE; COMPUTER ASSISTED DIAGNOSIS; DEMENTIA; HUMAN; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; MIDDLE AGED; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ADOLESCENT; ADULT; ALGORITHMS; ARTIFICIAL INTELLIGENCE; CEREBRAL VENTRICLES; DEMENTIA; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; MAGNETIC RESONANCE IMAGING; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 79551681746     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75757-3_108     Document Type: Conference Paper

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