Automatic human knee cartilage segmentation from multi-contrast MR images using extreme learning machines and discriminative random fields

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

Volumn 7009 LNCS, Issue , 2011, Pages 335-343

  Zhang, Kunlei ^a   Lu, Wenmiao ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC SEGMENTATIONS; CARTILAGE SEGMENTATION; CLASSIFICATION PERFORMANCE; DATA SETS; EXTREME LEARNING MACHINE; FEED-FORWARD NETWORK; GENERALIZATION PERFORMANCE; HUMAN INTERVENTION; HUMAN KNEE; INTERACTION POTENTIALS; K-NEAREST NEIGHBORS; LEAST-SQUARE SOLUTION; MR IMAGES; NOVEL SOLUTIONS; PIXEL CLASSIFICATION; RANDOM FIELDS; SEGMENTATION ACCURACY; SEGMENTATION METHODS; SPATIAL INTERACTION; TRAINING ALGORITHMS;

ASSOCIATION REACTIONS; CARTILAGE; COMPUTER AIDED INSTRUCTION; CONVEX OPTIMIZATION; IMAGE QUALITY; LEARNING ALGORITHMS; MAGNETIC RESONANCE; MEDICAL IMAGING; NETWORK LAYERS; SUPPORT VECTOR MACHINES;

IMAGE SEGMENTATION;

EID: 80053987985     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-24319-6_41     Document Type: Conference Paper

References (15)

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