A multiple model probability hypothesis density tracker for time-lapse cell microscopy sequences

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

Volumn 7917 LNCS, Issue , 2013, Pages 110-122

  Rezatofighi, Seyed Hamid ^a,b   Gould, Stephen ^a   Vo, Ba Ngu ^c   Mele, Katarina ^b   Hughes, William E ^d,e   Hartley, Richard ^a,b  

^a AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

^b CSIRO   (Australia)

^c CURTIN UNIVERSITY   (Australia)

^d GARVAN INSTITUTE OF MEDICAL RESEARCH   (Australia)

^e ST VINCENT S HOSPITAL   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL APPLICATIONS; MANEUVERING MOTION; MODEL PROBABILITIES; MULTI-TARGET TRACKING; RECURSION EQUATIONS; SUBCELLULAR STRUCTURE; TOTAL INTERNAL REFLECTION FLUORESCENCE MICROSCOPY; TRANSITION PROBABILITY MATRIX;

DATA PROCESSING; MEDICAL IMAGING; REFRACTIVE INDEX;

TARGET TRACKING;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; CELL TRACKING; COMPUTER ASSISTED DIAGNOSIS; FLUORESCENCE MICROSCOPY; IMAGE ENHANCEMENT; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; TIME LAPSE IMAGING;

ALGORITHMS; CELL TRACKING; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MICROSCOPY, FLUORESCENCE; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TIME-LAPSE IMAGING;

EID: 84899848924     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-38868-2_10     Document Type: Conference Paper

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