A multiple hypothesis based method for particle tracking and its extension for cell segmentation

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

Volumn 7917 LNCS, Issue , 2013, Pages 98-109

  Liang, Liang ^a   Shen, Hongying ^a   Rompolas, Panteleimon ^a   Greco, Valentina ^a   De Camilli, Pietro ^a   Duncan, James S ^a  

^a YALE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL STUDIES; DATA ASSOCIATION PROBLEM; GAUSSIAN MIXTURE MODEL; MULTIPLE HYPOTHESIS; PARTICLE-TRACKING METHOD; SUBPIXEL RESOLUTION; TOTAL INTERNAL REFLECTION MICROSCOPY; TWO-PHOTON EXCITATION MICROSCOPIES;

DATA PROCESSING; MEDICAL IMAGING; MOLECULAR BIOLOGY; REFRACTIVE INDEX;

IMAGE SEGMENTATION;

ALGORITHM; ANIMAL; ARTICLE; AUTOMATED PATTERN RECOGNITION; CELL CULTURE; CELL TRACKING; COMPUTER ASSISTED DIAGNOSIS; CYTOLOGY; FIBROBLAST; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; MOUSE; MULTIPHOTON MICROSCOPY; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ANIMALS; CELL TRACKING; CELLS, CULTURED; FIBROBLASTS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MICE; MICROSCOPY, FLUORESCENCE, MULTIPHOTON; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84897824585     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-38868-2_9     Document Type: Conference Paper

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