Biomedical Engineering Reference
In-Depth Information
[33] S.K. Nath and K. Palaniappan, ''Adaptive robust structure tensors for orientation estima-
tion and image segmentation,'' Proc. 1st Int. Symp. Visual Computing (ISVC) (G. Bebis,
R. Boyle, D. Koracin and B. Parvin, ed.), vol. 3804, pp. 445--453, Lake Tahoe, NV:
Springer, 2005.
[34] C. Li, C. Xu, C. Gui, and D. Fox, ''Level set evolution without re-initialization: A new
variational formulation,'' IEEE Comp. Soc. , vol. 1, pp. 430--436, 2005.
[35] S. Kim and H. Lim, ''A hybrid level set segmentation for medical imagery,'' in
Proc. IEEE Nucl. Sci. Symp. , vol. 3, pp. 1790--1794, IEEE Nucl. Plasma. Sci. Soc.,
2005.
[36] R.F. Gonzalez, M.H. Barcellos-Hoff, and C. de Sol orzano, ''A tool for the quantitative
spatial analysis of complex cellular systems,'' vol. 14, pp. 1300--1313, September 2005.
[37] C. Indermitte, T. Liebling, M. Troyanov, and H. Clemencon, ''Voronoi diagrams on
piecewise flat surfaces and an application to biological growth,'' Theo. Comp. Sci. ,vol.
263, no. 1-2, pp. 263--274, 2001.
[38] S. Keenan, J. Diamond, W. McCluggage, H. Bharucha, D. Thompson, P. Bartels, and P.
Hamilton, ''An automated machine vision system for the histological grading of cervical
intraepithelial neoplasia (CIN),'' J. Pathol., vol. 192, no. 3, pp. 351--362, 2000.
[39] J. Geusebroek, A.W.M. Smeulders, F. Cornelissen, and H. Geerts, ''Segmentation of tissue
architecture by distance graph matching,'' Cytometry , vol. 35, no. 1, pp. 11--22, 1999.
[40] B. Weyn, G. Wouwer, S.K. Singh, A. Daele, P. Scheunders, E. Marck, and W. Jacob,
''Computer-assisted differential diagnosis of malignant mesothelioma based on syntactic
structure analysis,'' Cytometry , vol. 35, no. 1, pp. 23--29, 1999.
[41] H. Choi, T. Jarkrans, E. Bengtsson, J. Vasko, K. Wester, P. Malmstr om, and C. Busch,
''Image analysis based grading of bladder carcinoma. Comparison of object, texture and
graph based methods and their reproducibility,'' Anal. Cell. Path. , vol. 15, no. 1, pp.
1--18, 1997.
[42]
A. Klemencic, F. Pernus, and S. Kova cic, ''Segmentation of muscle fibre images using
voronoi diagrams and active contour models,'' vol. 3, pp. 538--542, IEEE Comp. Soc. ,
1996.
[43]
A. Okabe, B. Boots, K. Sugihara, and S.N. Chiu, Spatial Tesselations: Concepts and
Applications of Voronoi Diagrams , 2nd Edition, West Sussex, UK: John Wiley & Sons
Ltd., 2000.
[44]
F. Aurenhammer, ''Voronoi diagrams - A survey of a fundamental geometric data struc-
ture,'' ACM Comp. Surveys , vol. 23, no. 3, pp. 345--405, 1991.
[45]
Lecture Notes in Computer Science (SCIA 2007) , vol. 4522, 2007.
[46]
I. Ersoy and K. Palaniappan, ''Multi-feature contour evolution for automatic live cell
segmentation in time lapse imagery,'' IEEE EMBC'08 , 2008.
[47]
K. Palaniappan, I. Ersoy, and S. K. Nath, ''Moving object segmentation using the flux
tensor for biological video microscopy,'' Lecture Notes in Computer Science (PCM 2007) ,
vol. 4810, 2007, pp. 483--493.
[48]
F. Bunyak, K. Palaniappan, S. K. Nath, and G. Seetharaman, ''Flux tensor constrained
geodesic active contours with sensor fusion for persistent object tracking,'' Journal of
Multimedia , August 2007.
[49]
P. Yan, X. Zhou, M. Shah, and S. Wong, ''Automatic segmentation of high throughput
RNAi fluorescent cellular images,'' vol. 12, no. 1, pp. 109--117, 2008.
[50]
J. D. Owens, D. Luebke, N. Govindaraju, M. Harris, J. Krger, A. E. Lefohn, and
T. Purcell, ''A survey of general-purpose computation on graphics hardware,'' Computer
Graphics Forum , vol. 26, no. 1, pp. 80--113, 2007.
[51]
I. Buck, T. Foley, D. Horn, J. Sugerman, K. Fatahalian, M. Houston, and P. Hanra-
han, ''Brook for GPUs: stream computing on graphics hardware,'' ACM Transactions on
Graphics , vol. 23, no. 3, pp. 777--786, 2004.
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