A novel cell segmentation method and cell phase identification using Markov model

IEEE Transactions on Information Technology in Biomedicine

Volumn 13, Issue 2, 2009, Pages 152-157

  Zhou, Xiaobo ^a   Li, Fuhai ^b,c   Yan, Jun ^b,c   Wong, Stephen T C ^a  

^a WEILL CORNELL MEDICAL COLLEGE   (United States)

^b The Harvard Center for Neurodegeneration & Repair   (United States)

^c BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

Cell phase identification; Continuous Markov model; Nuclei segmentation; Time lapse fluorescence microscopy; Tracking

Indexed keywords

ADAPTIVE ALGORITHMS; FLUORESCENCE; FLUORESCENCE MICROSCOPY; IMAGE SEGMENTATION; MARKOV PROCESSES; OPTICAL DATA STORAGE; OPTICAL INSTRUMENTS; OPTICAL MICROSCOPY; RESEARCH;

ADAPTIVE THRESHOLDING; AUTOMATIC SYSTEMS; CELL BEHAVIORS; CELL CYCLES; CELL NUCLEI SEGMENTATIONS; CELL NUCLEUS; CELL SEGMENTATIONS; CONTEXT INFORMATIONS; CONTINUOUS MARKOV MODEL; DRUG DISCOVERIES; LARGE POPULATIONS; LIFE SCIENCE RESEARCHES; NUCLEI SEGMENTATION; QUANTITATIVE ANALYSIS; SCORING MODELS; TIME-LAPSE FLUORESCENCE MICROSCOPY; TIME-LAPSE MICROSCOPIES; TRACKING; WATER-SHED ALGORITHMS;

CELLS;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; CELL CYCLE; CELL NUCLEUS; FLUORESCENCE MICROSCOPY; HELA CELL; HUMAN; IMAGE PROCESSING; METHODOLOGY; NORMAL DISTRIBUTION; PHYSIOLOGY; PROBABILITY; ULTRASTRUCTURE;

ALGORITHMS; CELL CYCLE; CELL NUCLEUS; HELA CELLS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MARKOV CHAINS; MICROSCOPY, FLUORESCENCE; NORMAL DISTRIBUTION; PATTERN RECOGNITION, AUTOMATED;

EID: 63349108493     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2008.2007098     Document Type: Article

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