Automatic detection of subcellular particles in fluorescence microscopy via feature clustering and bayesian analysis

Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis

Volumn , Issue , 2012, Pages 161-166

  Liang, Liang ^a   Xu, Yingke ^a   Shen, Hongying ^a   De Camilli, Pietro ^a   Toomre, Derek K ^a   Duncan, James S ^a  

^a YALE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC DETECTION; BAYESIAN ANALYSIS; CELL BIOLOGISTS; CELLULAR PROCESS; DETECTION METHODS; ESTIMATION METHODS; FEATURE CLUSTERING; FLUORESCENCE IMAGE; FLUORESCENCE INTENSITIES; HUMAN EXPERT; IMAGE FILTERS; LIVE CELL; OPTIMAL ESTIMATIONS; RELATIVE SIZES; SINGLE PARTICLE; SUB-CELLULAR; SYNTHETIC DATA; UNDERLYING MECHANISM;

CLUSTERING ALGORITHMS; ESTIMATION; FLUORESCENCE; IMAGE ANALYSIS;

FLUORESCENCE MICROSCOPY;

EID: 84859911009     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MMBIA.2012.6164750     Document Type: Conference Paper

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