【尿细胞的分割——尿细胞学自动化处理的第一步(作者译)】。

Microscopica acta. Supplement Pub Date : 1980-01-01
C E Liedtke, B Aeikens
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引用次数: 0

摘要

通过对细胞图像的分割,我们了解了微观细胞场景自动分解为细胞核、等离子体和背景。通过使用显微镜图像的信息和对场景内容的先验知识来实现分割。不同的算法已经被研究并应用于尿路上皮细胞样本。更详细地讨论了一种基于直方图方法的特殊算法,该算法易于在硬件上实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[The segmentation of urinary cells--a first step in the automated processing in urine cytology (author's transl)].

By segmentation of cell images we understand the automated decomposition of microscopic cell scenes into nucleus, plasma and background. A segmentation is achieved by using information from the microscope image and prior knowledge about the content of the scene. Different algorithms have been investigated and applied to samples of urothelial cells. A particular algorithm based on a histogram approach which can be easily implemented in hardware is discussed in more detail.

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