System-level training of neural networks for counting white blood cells

IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews

Volumn 32, Issue 1, 2002, Pages 48-53

  Theera Umpon, Nipon ^a   Gader, Paul D ^b  

^a CHIANG MAI UNIVERSITY   (Thailand)

^b University of Florida   (United States)

Author keywords

Counting error objective function; Neural networks (NNs); Sigma count; White blood cell counting

Indexed keywords

ALGORITHMS; BACKPROPAGATION; BLOOD; CELLS; ENCODING (SYMBOLS); ERROR ANALYSIS; FEATURE EXTRACTION; GRADIENT METHODS; IMAGE SEGMENTATION; LEARNING SYSTEMS; PATTERN RECOGNITION SYSTEMS;

BATCH MODE TRAINING; CLASS CODING; COUNTING ERROR OBJECTIVE FUNCTION; CRISP COUNT; GRADIENT DESCENT METHOD; PRINCIPLE OF LEAST COMMITMENT OF MARR; SIGMA COUNT; SUM OF THE SQUARED COUNTING ERRORS; SYSTEM LEVEL TRAINING; WHITE BLOOD CELL COUNTING;

FEEDFORWARD NEURAL NETWORKS;

EID: 0036464306     PISSN: 10946977     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCC.2002.1009139     Document Type: Article

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