Automatic cell classification in human's peripheral blood images based on morphological image processing

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2256, Issue , 2001, Pages 225-236

  Kim, Kyungsu ^a   Jeon, Jeonghee ^a   Choi, WanKyoo ^b   Kim, Pankoo ^c   Ho, Yo Sung ^a  

^a Gwangju Institute of Science and Technology (GIST)   (South Korea)

^b Kwangju University   (South Korea)

^c Chosun University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; CCD CAMERAS; CELLS; CLASSIFICATION (OF INFORMATION); CYTOLOGY; IMAGE CLASSIFICATION; IMAGE SEGMENTATION; NEAREST NEIGHBOR SEARCH; PRINCIPAL COMPONENT ANALYSIS; TEXT PROCESSING;

AUTOMATIC CELL CLASSIFICATION; BACKPROPAGATION LEARNING; BLOOD CELL CLASSIFICATIONS; CLASSIFICATION PERFORMANCE; K NEAREST NEIGHBOR ALGORITHM; LEARNING VECTOR QUANTIZATION; MORPHOLOGICAL IMAGE PROCESSING; WHITE BLOOD CELL CLASSIFICATION;

BLOOD;

EID: 84907379335     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45656-2_20     Document Type: Conference Paper

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