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
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;
Conference_Titel :
Big Data (Big Data), 2014 IEEE International Conference on
Conference_Location :
Washington, DC
DOI :
10.1109/BigData.2014.7004474
