自上世纪70年代医学显微图像处理兴起后，血液细胞图像计算机自动处理和识别一直是这一领域研究的热门课题。
Since medical microscopic image processing rising in 70's of last century, the automatic processing and recognition of the blood cell image had been popular topic of this research area.
用这个方法能从血液样本中查出镰刀形红细胞贫血症，染色唾液涂片的荧光图像还能诊断出是否得了肺结核。
The system could also diagnose sickle-cell anaemia from blood samples, while fluorescent images of a stained sputum smear were sufficient to identify the presence of tuberculosis.
讨论建立了一真彩色血液细胞显微图像微机自动识别系统。
This paper discusses how to develop automatic classification system for blood cell image.
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