Data acceptance for automated leukocyte tracking through segmentation of spatiotemporal images

IEEE Transactions on Biomedical Engineering

Volumn 52, Issue 10, 2005, Pages 1702-1712

  Ray, Nilanjan ^a   Acton, Scott T ^a,b,c  

^a UNIVERSITY OF VIRGINIA   (United States)

^b University of Virginia   (United States)

^c University of Virginia   (United States)

Author keywords

Active contours; Inflammation research; Segmentation; Spatiotemporal image analysis

Indexed keywords

BOUNDARY CONDITIONS; CORRELATION THEORY; DATA REDUCTION; FILTERS (FOR FLUIDS); IMAGE SENSORS; TRACKING (POSITION);

ACTIVE CONTOURS; INFLAMMATION RESEARCH; SEGMENTATION; SPATIOTEMPORAL IMAGE ANALYSIS;

IMAGE SEGMENTATION;

ARTICLE; AUTOMATION; CELLULAR DISTRIBUTION; LEUKOCYTE; VALIDATION PROCESS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CELL MOVEMENT; CELLS, CULTURED; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; LEUKOCYTE COUNT; LEUKOCYTES; PATTERN RECOGNITION, AUTOMATED; QUALITY ASSURANCE, HEALTH CARE; REFERENCE VALUES;

EID: 26444610603     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2005.855718     Document Type: Article

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