High performance computing techniques for scaling image analysis workflows
作者： Patrick M. Widener , Tahsin Kurc , Wenjin Chen , Fusheng Wang , Lin Yang
DOI: 10.1007/978-3-642-28145-7_7
关键词: Data mining 、 Supercomputer 、 Workflow 、 Modality (human–computer interaction) 、 Image processing 、 Virtual microscopy 、 Computer science 、 Algorithm design 、 Software framework 、 Domain (software engineering)
摘要: Biomedical images are intrinsically complex with each domain and modality often requiring specialized knowledge to accurately render diagnosis plan treatment. A general software framework that provides access high-performance resources can make possible high-throughput investigations of micro-scale features as well algorithm design, development evaluation. In this paper we describe the requirements challenges supporting microscopy analyses large datasets high-resolution biomedical images. We present computing approaches for storage retrieval image data, processing, management analysis results additional explorations. Lastly, issues surrounding use high performance scaling workflows.
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