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Displaying 76 - 100 of 111

Terabyte Size Image Computations on Hadoop Cluster Platforms

October 7, 2013
Author(s)
Peter Bajcsy, Antoine Vandecreme, Julien M. Amelot, Phuong T. Nguyen, Joe Chalfoun, Mary C. Brady
We present a characterization of four basic terabyte size image computations on a Hadoop cluster in terms of their relative efficiency according to the modified Amdahl’s law. The work is motivated by the fact that there is a lack of standard benchmarks and

Parallel Geometric Classification of Stem Cells by Their 3D Morphology

July 1, 2013
Author(s)
Derek Juba, Antonio Cardone, Cheuk Y. Ip, Carl Simon Jr., Christopher K. Tison, Girish Kumar, Mary C. Brady
Autologous stem cells show great promise for tissue engineering as they can regenerate diseased or damaged tissue, without requiring an organ donor or causing immune rejection. A primary goal of regenerative medicine is to identify methods for controlling

A Hybrid CPU-GPU Approach to Fourier-Based Image Stitching of Optical Microscopy Images

March 3, 2013
Author(s)
Walid Keyrouz, Timothy J. Blattner, Bertrand C. Stivalet, Joe Chalfoun, Mary C. Brady, Shujia Zhou
We present a hybrid CPU-GPU approach for the Fourier-based stitching of optical microscopy images. This system achieves sub-minute stitching rates with large grids; it stitches a grid of 59x42 tiles in 26 seconds on a two-CPU (8 physical cores) & two-GPU

Segmenting Time-lapse Phase Contrast Images of Adjacent NIH 3T3 Cells

January 15, 2013
Author(s)
Joe Chalfoun, Alden A. Dima, Marcin Kociolek, Michael W. Halter, Antonio Cardone, Adele P. Peskin, Peter Bajcsy, Mary C. Brady
We present a new method for segmenting phase contrast images of NIH 3T3 fibroblast cells that is accurate even when cells are in contact. The problem of segmentation, when cells are in contact, poses a challenge to the accurate automation of cell counting

How to Select Microscopy Image Similarity Metrics?

October 10, 2012
Author(s)
Peter Bajcsy, Joe Chalfoun, Mary C. Brady
Comparisons of two microscopy images can be accomplished in many different ways. This paper presents a system that recommends appropriate similarity metrics for microscopy image comparisons based on biological application requirements. The motivation stems

Toward a Recommendation System for Image Similarity Metrics

October 7, 2012
Author(s)
Peter Bajcsy, Joe Chalfoun, Mary C. Brady
This paper addresses the problem of mapping application specific requirements on image similarity metrics to the plethora of existing image similarity computations. The work is motivated by the fact that there is no recommendation method for choosing a

Big Data Issues in Quantitative Imaging

August 29, 2012
Author(s)
Mary C. Brady, Alden A. Dima, Charles D. Fenimore, James J. Filliben, John Lu, Adele Peskin, Mala Ramaiah, Ganesh Saiprasad, Ram D. Sriram

Conformance of Image Features to Classifier Assumptions

July 27, 2012
Author(s)
Julien M. Amelot, Peter Bajcsy, Mary C. Brady
Cell measurements are derived frequently from the results of pixel classification and contiguous region segmentation of microscopy images. Image segmentation is accomplished by classifying image pixels based on high dimensional image features computed from

Evaluation of Fault Detection Effectiveness for Combinatorial and Exhaustive Selection of Discretized Test Inputs

June 4, 2012
Author(s)
Carmelo Montanez-Rivera, David R. Kuhn, Mary C. Brady, Richard M. Rivello, Jenise Reyes Rodriguez, Michael K. Powers
Testing components of web browsers and other graphical interface software can be extremely expensive because of the need for human review of screen appearance and interactive behavior. Combinatorial testing has been advocated as a method that provides

Comparison of segmentation algorithms for fluorescence microscopy images of cells

June 14, 2011
Author(s)
Alden A. Dima, John T. Elliott, James J. Filliben, Michael W. Halter, Adele P. Peskin, Javier Bernal, Marcin Kociolek, Mary C. Brady, Hai C. Tang, Anne L. Plant
Segmentation results from nine different segmentation techniques applied to two different cell lines and five different sets of imaging conditions were compared. Significant variability in the results of segmentation was observed that was due solely to

NIST Workshop on Ontology Evaluation (NISTIR 7774)

April 1, 2011
Author(s)
Ram D. Sriram, Conrad E. Bock, Fabian M. Neuhaus, Evan K. Wallace, Mary C. Brady, Mark Musen, Joanne Luciano
The National Institute for Standards and Technology sponsored a workshop in October, 2007, on the subject of ontology evaluation. An international group of invited experts met for two days to discuss problems in measuring ontology quality. The workshop