A spectral k-means approach to bright-field cell image segmentation

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Volumn , Issue , 2010, Pages 4748-4751

  Bradbury, Laura ^a   Wan, Justin W L ^b  

^a UNIVERSITY OF WATERLOO   (Canada)

^b UNIVERSITY OF WATERLOO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE CONTOURS; AUTOMATIC SEGMENTATIONS; BRIGHT-FIELD IMAGES; BRIGHTFIELD; CELL BIOLOGISTS; COMPLEX NATURE; EIGENVECTORS; FLUORESCENT IMAGES; K-MEANS; K-MEANS ALGORITHM; K-MEANS CLUSTERING TECHNIQUES; LEVEL SET SEGMENTATION; MATRIX; ROBUST SEGMENTATION; SEGMENTATION RESULTS;

IMAGE SEGMENTATION;

ALGORITHM; ANIMAL; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CELL LINE; CELL TRACKING; COMPUTER ASSISTED DIAGNOSIS; CYTOLOGY; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; MOUSE; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SKELETAL MUSCLE;

ALGORITHMS; ANIMALS; ARTIFICIAL INTELLIGENCE; CELL LINE; CELL TRACKING; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MICE; MUSCLE FIBERS, SKELETAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 78650808609     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2010.5626380     Document Type: Conference Paper

References (8)

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