TAILIEUCHUNG - Báo cáo y học: "utomated generation of massive image knowledge collections using Microsoft Live Labs Pivot to"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Wertheim cung cấp cho các bạn kiến thức về ngành y đề tài: Automated generation of massive image knowledge collections using Microsoft Live Labs Pivot to . | Viangteeravat et al. Journal of Clinical Bioinformatics 2011 1 18 http content 1 1 18 JOURNAL OF CLINICAL BIOINFORMATICS METHODOLOGY Open Access Automated generation of massive image knowledge collections using Microsoft Live Labs Pivot to promote neuroimaging and translational research Teeradache Viangteeravat Matthew N Anyanwu Venkateswara Ra Nagisetty and Emin Kuscu Abstract Background Massive datasets comprising high-resolution images generated in neuro-imaging studies and in clinical imaging research are increasingly challenging our ability to analyze share and filter such images in clinical and basic translational research. Pivot collection exploratory analysis provides each user the ability to fully interact with the massive amounts of visual data to fully facilitate sufficient sorting flexibility and speed to fluidly access explore or analyze the massive image data sets of high-resolution images and their associated meta information such as neuro-imaging databases from the Allen Brain Atlas. It is used in clustering filtering data sharing and classifying of the visual data into various deep zoom levels and meta information categories to detect the underlying hidden pattern within the data set that has been used. Method We deployed prototype Pivot collections using the Linux CentOS running on the Apache web server. We also tested the prototype Pivot collections on other operating systems like Windows the most common variants and UNIX etc. It is demonstrated that the approach yields very good results when compared with other approaches used by some researchers for generation creation and clustering of massive image collections such as the coronal and horizontal sections of the mouse brain from the Allen Brain Atlas. Results Pivot visual analytics was used to analyze a prototype of dataset Dab2 co-expressed genes from the Allen Brain Atlas. The metadata along with high-resolution images were automatically extracted using the Allen .

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