Automatic detection of nucleated red blood cells from microscope images using cell-hog feature

Seimitsu Kogaku Kaishi/Journal of the Japan Society for Precision Engineering

Volumn 79, Issue 11, 2013, Pages 1074-1077

  Ozaki, Ryota ^a   Oda, Hideto ^a   Usuba, Ryoko ^a   Kumazawa, Yukio ^a   Kato, Noriji ^a   Kita, Mikiko ^a   Takabayashi, Haruo ^a  

^a NONE

Author keywords

Automatic detection; HOG; Machine learning; Microscope image; Nucleated red blood cells

Indexed keywords

ARTIFICIAL INTELLIGENCE; BLOOD; CYTOLOGY; FEATURE EXTRACTION; LEARNING ALGORITHMS; LEARNING SYSTEMS; MICROSCOPES;

AUTOMATIC DETECTION; DETECTION SYSTEM; FOREIGN OBJECT; MICROSCOPE IMAGES; NUCLEATED RED BLOOD CELLS; RED BLOOD CELL; RULE BASED ALGORITHMS; WHITE BLOOD CELLS;

CELLS;

EID: 84888236435     PISSN: 09120289     EISSN: None     Source Type: Journal    
DOI: 10.2493/jjspe.79.1074     Document Type: Article

References (3)

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