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A Content Based Pattern Analysis System for a Biological Specimen Collection

机译:基于内容的生物样本集合分析系统

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Over the years many research collections of biological specimen have been developed for research in biological sciences. Number of specimens in some of these collections can be as high as several millions. There is a move to convert these physical specimens into digital images. This research is motivated by the need to develop techniques to mine useful information from these large collections of specimen images. Specific focus of this research is on the collection of parasites in the Harold W. Manter Laboratory (HWML) Parasite Collection, one of the top four parasite collections in the world. These parasites closely resemble in shape and have flexible bodies with rigid extremities. They have only a few specific structural differences. In this paper we present a technique to retrieve specimens based on shape of a given sample. This form of mining based on the shape of the specimen has the potential to discover linkages between specimens not otherwise known.
机译:多年来,已经为生物科学研究开发了许多生物标本的研究收藏。这些系列中的一些标本数量可以高达几百万天。有一个举动将这些物理标本转换为数字图像。这项研究是由于需要开发从这些大量标本图像中挖掘有用信息的技术的需要。本研究的具体焦点是在Harold W. Manter实验室(HWML)寄生虫系列中的寄生虫收集,是世界上四大寄生虫系列之一。这些寄生在形状非常类似,具有刚性刚性的柔性体。它们只有一些特定的结构差异。在本文中,我们提出了一种基于给定样品的形状检索样品的技术。基于样本形状的这种挖掘形式具有潜力,可以在未另外已知的标本之间发现键。

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