Automatic detection of unstained viable cells in bright field images using a support vector machine with an improved training procedure

Computers in Biology and Medicine

Volumn 36, Issue 4, 2006, Pages 339-362

  Long, Xi ^a   Cleveland, Louis ^b,c   Lawrence Yao, Y ^a  

^a 220 Mudd MC 4703 ^*  (United States)

^b Och Spine at New York Presbyterian Hospitals   (United States)

^c ST LUKE S ROOSEVELT HOSPITAL CENTER   (United States)

Author keywords

Cell detection; Kernel functions; Structural risk minimization; Support vector machines

Indexed keywords

CELL DETECTION; KERNEL FUNCTIONS; SUPPORT VECTOR MACHINES;

ALGORITHMS; BOUNDARY VALUE PROBLEMS; IMAGE PROCESSING; PATTERN RECOGNITION;

CELL CULTURE;

ACCURACY; ALGORITHM; ANIMAL CELL; ARTICLE; AUTOMATION; CELL STRUCTURE; CELL VIABILITY; COMPUTER PROGRAM; IMAGE ANALYSIS; MATHEMATICAL ANALYSIS; MICROSCOPY; MOUSE; NONHUMAN; PRIORITY JOURNAL; STAINING;

ALGORITHMS; ANIMALS; CELL SURVIVAL; IMAGE PROCESSING, COMPUTER-ASSISTED; LYMPHOMA, B-CELL; MICE; PATTERN RECOGNITION, AUTOMATED;

ANIMALIA;

EID: 32644464457     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2004.12.002     Document Type: Article

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