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Tools for Efficient Subsetting and Pipelined Processing of Large Scale, Distributed Biomedical Image Data

机译:用于大规模,分布式生物医学图像数据的高效子集和流水线处理的工具

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This paper presents a suite of tools and techniques for efficient storage, retrieval, and processing of multi-dimensional, multi-resolution biomedical image datasets on parallel and distributed storage systems. We present the implementation of various services using these tools. We demonstrate the coordinated use of the services to support biomedical image analysis applications that access subsets of terabyte scale multi-resolution datasets and that make use of a variety of image processing algorithms on large-scale digitized microscopy slides.
机译:本文介绍了一套有效存储,检索和处理并行和分布式存储系统的多维多分辨率生物医学图像数据集的工具和技术。我们使用这些工具呈现各种服务的实施。我们展示了服务的协调使用,以支持访问Terabyte Scale多分辨率数据集的子集的生物医学图像分析应用程序,并利用大规模数字化显微镜幻灯片上的各种图像处理算法。

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