ImageMiner: a software system for comparative analysis of tissue microarrays using content-based image retrieval, high-performance computing, and grid technology.
Objective and Design: The 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...
| Publicado en: | Journal of the American Medical Informatics Association Vol. 18; no. 4; pp. 403 - 416 |
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| Autores principales: | , , , , , , , , , , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Oxford University Press / USA
Jul2011
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104646174&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104646174 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10675027 FZ9 jtl: Journal of the American Medical Informatics Association issn: 10675027 maglogo: N pubinfo: dt: Jul2011 vid: 18 iid: 4 pid: 622 pub: Oxford University Press / USA artinfo: ui: 104646174 NLM21606133 2011175529 10.1136/amiajnl-2011-000170 NLM21606133 PMC3128405 104646174 ppf: 403 ppct: 13 formats: tig: atl: ImageMiner: a software system for comparative analysis of tissue microarrays using content-based image retrieval, high-performance computing, and grid technology. aug: au: Foran DJ Yang L Chen W Hu J Goodell LA Reiss M Wang F Kurc T Pan T Sharma A Saltz JH Foran, David J Yang, Lin Chen, Wenjin Hu, Jun Goodell, Lauri A Reiss, Michael Wang, Fusheng Kurc, Tahsin Pan, Tony affil: Center for Biomedical Imaging & Informatics, UMDNJ-Robert Wood Johnson Medical School, New Brunswick, New Jersey 08901, USA sug: subj: Data Mining Methods Management Information Systems Image Processing, Computer Assisted Tissue Array Analysis Equipment and Supplies Communication Software Design United States ab: Objective and Design: The 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.Results: The experimental evaluation shows that: (1) ImageMiner is able to support reliable detection and feature extraction of tumor regions within imaged tissues; (2) images and analysis results managed in ImageMiner can be searched for and retrieved on the basis of image-based features, classification information, and any correlated clinical data, including any metadata that have been generated to describe the specified tissue and TMA; and (3) the system is able to reduce computation time of analyses by exploiting computing clusters, which facilitates analysis of larger sets of tissue samples. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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