A feature set for cytometry on digitized microscopic images.

Karsten Rodenacker, Ewert Bengtsson
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引用次数: 251

Abstract

Feature extraction is a crucial step in most cytometry studies. In this paper a systematic approach to feature extraction is presented. The feature sets that have been developed and used for quantitative cytology at the Laboratory for Biomedical Image Analysis of the GSF as well as at the Center for Image Analysis in Uppsala over the last 25 years are described and illustrated. The feature sets described are divided into morphometric, densitometric, textural and structural features. The latter group is used to describe the eu- and hetero-chromatin in a way complementing the textural methods. The main goal of the paper is to bring attention to the need of a common and well defined description of features used in cyto- and histometrical studies. The application of the sets of features is shown in an overview of projects from different fields. Finally some rules of thumb for the design of studies in this field are proposed. Colour figures can be viewed on http://www.esacp.org/acp/2003/25-1/rodenacker.htm.

对数字化显微图像进行细胞计数的一种特征集。
特征提取是大多数细胞术研究的关键步骤。本文提出了一种系统的特征提取方法。在过去的25年里,GSF生物医学图像分析实验室以及乌普萨拉图像分析中心开发并用于定量细胞学的特征集被描述和说明。所描述的特征集分为形态特征、密度特征、纹理特征和结构特征。后一组被用来描述eu-和异染色质,以一种补充结构方法的方式。本文的主要目的是引起人们对细胞和组织学研究中使用的特征的共同和良好定义描述的需要的注意。在不同领域的项目概述中展示了这些特征集的应用。最后提出了本领域研究设计的经验法则。彩色数据可在http://www.esacp.org/acp/2003/25-1/rodenacker.htm上查看。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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