DocumentCode
1791819
Title
Machine learning and interactive visualization applied to TB-sized images of stem cells
Author
Amelot, Julien ; Bajcsy, Peter ; Plant, Anne ; Brady, Mary
Author_Institution
Inf. Technol. Lab., Nat. Inst. of Stand. & Technol., Gaithersburg, MD, USA
fYear
2014
fDate
27-30 Oct. 2014
Firstpage
4
Lastpage
4
Abstract
In order to characterize the growth and properties of stem cell colonies with high statistical significance, we address the problem of applying machine learning and interactive web visualizations to TB-sized images. Overcoming the computational challenges and designing advanced visualizations enabled knowledge discovery and quantitative analysis at unprecedented scales in cell microscopy.
Keywords
Internet; data visualisation; learning (artificial intelligence); medical image processing; microscopy; TB-sized images; cell microscopy; interactive Web visualizations; machine learning; stem cell colonies; Big data; Computational modeling; Data visualization; Feature extraction; Laboratories; Predictive models; Stem cells; Big Data; Image Processing; Interactive Data Visualization; Machine Learning; Parallel Computing; Predictive Modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Big Data (Big Data), 2014 IEEE International Conference on
Conference_Location
Washington, DC
Type
conf
DOI
10.1109/BigData.2014.7004474
Filename
7004474
Link To Document