ImageMiner: a software system for comparative analysis of tissue microarrays using content-based image retrieval high-performance computing and grid technology

机译：ImageMiner：使用基于内容的图像检索高性能计算和网格技术对组织微阵列进行比较分析的软件系统

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摘要

Objective and designThe design and implementation of ImageMiner, a software platform for performing comparative analysis of expression patterns in imaged microscopy specimens such as tissue microarrays (TMAs), is described. ImageMiner is a federated system of services that provides a reliable set of analytical and data management capabilities for investigative research applications in pathology. It provides a library of image processing methods, including automated registration, segmentation, feature extraction, and classification, all of which have been tailored, in these studies, to support TMA analysis. The system is designed to leverage high-performance computing machines so that investigators can rapidly analyze large ensembles of imaged TMA specimens. To support deployment in collaborative, multi-institutional projects, ImageMiner features grid-enabled, service-based components so that multiple instances of ImageMiner can be accessed remotely and federated.

机译：目的和设计描述了ImageMiner的设计和实现，ImageMiner是用于对成像显微标本（例如组织微阵列（TMA））中的表达模式进行比较分析的软件平台。 ImageMiner是一个联合服务系统，可为病理学的研究应用程序提供可靠的分析和数据管理功能。它提供了一个图像处理方法库，包括自动配准，分割，特征提取和分类，所有这些方法在这些研究中都经过了定制，以支持TMA分析。该系统旨在利用高性能计算机器，以便研究人员可以快速分析成像的TMA标本的大型集合。为了支持在多机构协作项目中的部署，ImageMiner具有基于网格的，基于服务的组件，因此可以远程访问并联合多个ImageMiner实例。

著录项

期刊名称 Journal of the American Medical Informatics Association : JAMIA
作者
David J Foran; Lin Yang; Wenjin Chen; Jun Hu; Lauri A Goodell; Michael Reiss; Fusheng Wang; Tahsin Kurc; Tony Pan; Ashish Sharma; Joel H Saltz;
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作者单位

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年(卷),期 2011(18),4
年度 2011
页码 403–415
总页数 13
原文格式 PDF
正文语种
中图分类
关键词
Computer-assisted diagnosis biomedical imaging informatics tissue microarray content-based image retrieval bioinformatics data management data integration RFID temporal database spatial database Emory biomedical informatics imaging high end computing middleware pathology;

机译：计算机辅助诊断;生物医学成像;信息学;组织微阵列;基于内容的图像检索;生物信息学;数据管理;数据集成;RFID;时间数据库;空间数据库;埃默里;生物医学信息学;成像;高端计算;中间件;病理学;

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专利

1. ImageMiner: a software system for comparative analysis of tissue microarrays using content-based image retrieval, high-performance computing, and grid technology. [J] . Foran DJ, Yang L, Chen W, Journal of the American Medical Informatics Association : . 2011,第4期

机译：ImageMiner：使用基于内容的图像检索，高性能计算和网格技术对组织微阵列进行比较分析的软件系统。
2. Large-scale grid computing for content-based image retrieval [J] . Chris Town, Karl Harrison Aslib Proceedings . 2010,第4a5期

机译：基于内容的图像检索的大规模网格计算
3. Comparative Analysis of Distance Metrics for Designing an Effective Content-based Image Retrieval System Using Colour and Texture Features [J] . Yashankit Shikhar, Vibhav Prakash Singh, Rajeev Srivastava International Journal of Image, Graphics and Signal Processing . 2017,第12期

机译：使用颜色和纹理特征设计有效的基于内容的图像检索系统的距离度量的比较分析
4. Comparative Analysis of Content-Based Image Retrieval Systems [C] . Miroslav MARINOV, Irena VALOVA, Yordan KALMUKOV 2019 16th Conference on Electrical Machines, Drives and Power Systems . 2019

机译：基于内容的图像检索系统的比较分析
5. Framework for creating large-scale content-based image retrieval system (CBIR) for solar data analysis [D] . Banda, Juan 2011

机译：用于创建大规模基于内容的图像检索系统（CBIR）进行太阳能数据分析的框架
6. Experiments with a Novel Content-Based Image Retrieval Software: Can We Eliminate Classification Systems in Adolescent Idiopathic Scoliosis? [O] . K. Venugopal Menon, Dinesh Kumar, Tessamma Thomas 2014

机译：使用基于内容的新型图像检索软件进行实验：我们能否消除青少年特发性脊柱侧凸的分类系统？
7. ImageMiner: a software system for comparative analysis of tissue microarrays using content-based image retrieval, high-performance computing, and grid technology [O] . Foran, David J, Yang, Lin, Chen, Wenjin, 2011

机译：ImageMiner：使用基于内容的图像检索，高性能计算和网格技术对组织微阵列进行比较分析的软件系统
8. System for Indexing Multi-Spectral Satellite Images for Efficient Content-Based Retrieval [R] . Barros, J., French, J., Martin, W., 2003

机译：用于高效内容检索的多光谱卫星图像索引系统

ImageMiner: a software system for comparative analysis of tissue microarrays using content-based image retrieval high-performance computing and grid technology

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