Research on automatic recognition system for leucocyte image / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 1250-1255, 2007.
Article
in Chinese
| WPRIM
| ID: wpr-230708
ABSTRACT
The image segmentation method we use for leucocytes is based on image distance transformation, combining the region and edge approach, taking full advantage of image information. According to the shape, texture and color appearance of cells, we select 22 feature values and measure them. The classifier is designed on the statistical classification. A test for recognizing 831 leucocytes in 560 images shows that the classification accuracy is 96%. Clinical experts confirm this system; for it can automatically recognize leucocytes by pattern recognition technique, and it is demonstrably valid in practice.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Algorithms
/
Pattern Recognition, Automated
/
Artificial Intelligence
/
Cell Biology
/
Leukocytes
/
Methods
Limits:
Humans
Language:
Chinese
Journal:
Journal of Biomedical Engineering
Year:
2007
Type:
Article
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