Cell morphology classification and clutter mitigation in phase-contrast microscopy images using machine learning

Machine Vision and Applications

Volumn 23, Issue 4, 2012, Pages 659-673

  Theriault, Diane H ^a   Walker, Matthew L ^b   Wong, Joyce Y ^c   Betke, Margrit ^a  

^a BOSTON UNIVERSITY   (United States)

^b Boston University   (United States)

^c Boston University   (United States)

Author keywords

Adaboost; Cell morphology; Machine learning; Microscopy imaging

Indexed keywords

ADABOOST ALGORITHM; APPEARANCE BASED; CELL MORPHOLOGY; CELL SHAPES; CLASSIFICATION ACCURACY; ERROR PRONES; FIBROBLAST CELLS; LEARNING APPROACH; LIVING CELL; MACHINE LEARNING TECHNIQUES; MANUAL ANALYSIS; MICROSCOPY IMAGES; MICROSCOPY IMAGING; PHASE-CONTRAST MICROSCOPY; SHAPE BASED; TIME-LAPSE MICROSCOPY;

ADAPTIVE BOOSTING; CELL CULTURE; CLUTTER (INFORMATION THEORY); LEARNING SYSTEMS; MEDICAL APPLICATIONS; MORPHOLOGY;

CELLS;

EID: 84865359449     PISSN: 09328092     EISSN: 14321769     Source Type: Journal    
DOI: 10.1007/s00138-011-0345-9     Document Type: Conference Paper

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