Nonparametric segmentation and classification of small size irregularly shaped stem cell nuclei using adjustable windowing

2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings

Volumn , Issue , 2010, Pages 141-144

  Lowry, Nathan ^a   Mangoubi, Rami ^b   Desai, Mukund ^b   Sammak, Paul ^c  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b CHARLES STARK DRAPER LABORATORY   (United States)

^c UNIVERSITY OF PITTSBURGH   (United States)

Author keywords

Adaptive; Adjustable; Divergence; Non parametric; Stem cell; Texture; Wavelet; Window

Indexed keywords

ADJUSTABLE; AUTOMATIC MONITORING; DENSITY FUNCTIONS; DENSITY MODELS; DIVERGENCE; GROWTH AND DEVELOPMENT; LEVEL SET METHOD; NON-PARAMETRIC; NON-PARAMETRIC ESTIMATIONS; NONPARAMETRIC METHODS; SMALL SIZE; STEM CELL; WAVELET COEFFICIENTS;

GROWTH KINETICS; MEDICAL IMAGING; MULTIRESOLUTION ANALYSIS; TEXTURES; WAVELET DECOMPOSITION;

STEM CELLS;

EID: 77955198345     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2010.5490395     Document Type: Conference Paper

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