Segmenting human knee cartilage automatically from multi-contrast MR images using support vector machines and discriminative random fields

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2011, Pages 721-724

  Zhang, Kunlei ^a   Deng, Jun ^a   Lu, Wenmiao ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Automatic segmentation; cartilage; discriminative random fields; MRI; support vector machines

Indexed keywords

AUTOMATIC SEGMENTATIONS; CARTILAGE SEGMENTATION; COMBINED FEATURES; DATA SETS; GEOMETRICAL INFORMATIONS; HUMAN KNEE; IMAGE STRUCTURES; INFERENCE ALGORITHM; INTERACTION POTENTIALS; K-NEAREST NEIGHBORS; LOOPY BELIEF PROPAGATION; MR IMAGES; PIXEL CLASSIFICATION; RANDOM FIELDS; SPATIAL INFORMATIONS; SUBJECT-SPECIFIC; SUPPORT VECTOR; TRAINING SCENARIO;

ASSOCIATION REACTIONS; CARTILAGE; CONVEX OPTIMIZATION; INFERENCE ENGINES; MAGNETIC RESONANCE IMAGING; OPTIMIZATION; PIXELS; SUPPORT VECTOR MACHINES;

IMAGE SEGMENTATION;

EID: 84856280597     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2011.6116655     Document Type: Conference Paper

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