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尿细胞的分割——尿细胞学自动处理的第一步(作者译)

[The segmentation of urinary cells--a first step in the automated processing in urine cytology (author's transl)].

作者信息

Liedtke C E, Aeikens B

出版信息

Microsc Acta Suppl. 1980;Suppl 4:230-4.

PMID:6995802
Abstract

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.

摘要

通过细胞图像分割,我们指的是将微观细胞场景自动分解为细胞核、细胞质和背景。分割是通过利用显微镜图像中的信息以及关于场景内容的先验知识来实现的。已经研究了不同的算法并将其应用于尿路上皮细胞样本。本文将更详细地讨论一种基于直方图方法的特定算法,该算法可以很容易地在硬件中实现。

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