Cell segmentation for division rate estimation in computerized video time-lapse microscopy

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 6431, Issue , 2007, Pages

  Weijun, He ^c   Xiaoxu, Wang ^c   Metaxas, Dimitris ^a   Mathew, Robin ^c   White, Eileen ^b  

^a RUTGERS UNIVERSITY   (United States)

^b RUTGERS UNIVERSITY   (United States)

^c NONE

Author keywords

[No Author keywords available]

Indexed keywords

BIOMEDICAL ENGINEERING; CELLS; DATA REDUCTION; GENES; MICROSCOPIC EXAMINATION; PHYSIOLOGY;

BIOMEDICAL RESEARCH; COMPUTERIZED VIDEO TIME-LAPSE (CVTL) MICROCOPY; DIVISION RATE ESTIMATION;

IMAGE SEGMENTATION;

EID: 34247327384     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.717590     Document Type: Conference Paper

References (15)

1. C. Zimmer, E. Labruyere, V. Meas-Yedid, N. Guillen, and J.-C. Olivo-Marin, "Segmentation and tracking of migrating cells in videomicroscopy with parametric active contours: A tool for cell-based drug testing," IEEE Trans. Med. Imaging 21(10), pp. 1212-1221, 2002.
2. F. Yang, M. A. Mackey, F. Ianzini, G. Gallardo, and M. Sonka, "Cell segmentation, tracking, and mitosis detection using temporal context.," in MICCAI, pp. 302-309, 2005.
3. M. Kass, A. Witkin, and D. Terzopoulos, "Snakes: Active contour models," Int'l Journal of Computer Vision 1(4), pp. 321-331, 1988.
4. L. H. Staib and J. S. Duncan, "Boundary finding with parametrically deformable models," IEEE Trans. Pattern Anal. Mach. Intell. 14(11), pp. 1061-1075, 1992.
5. V. Caselles, R. Kimmel, and G. Sapiro, "Geodesic active contours," in ICCV, pp. 694-699, 1995.
6. C. Xu and J. Prince, "Snakes, shapes, and gradient vector flow," IEEE Trans. Image Proc., pp. 359-369, 1998.
7. R. Malladi, J. A. Sethian, and B. C. Vemuri, "Shape modeling with front propagation: A level set approach," IEEE Trans. on Pattern Anal, and Mach. Intell. 17(2), pp. 158-175, 1995.
8. J. A. Sethian, Level Set Methods and Fast Marching Methods, Cambridge University Press, 1999.
9. X. Huang, D. N. Metaxas, and T. Chen, "Metamorphs: Deformable shape and texture models," in CVPR (1), pp. 496-503, 2004.
10. Y. Rubner, C. Tomasi, and L. J. Guibas, "The earth mover's distance as a metric for image retrieval," Int'l Journal Computer Vision 40(2), pp. 99-121, 2000.
11. E. Levina and P. Bickel, "The earth mover's distance is the mallows distance: some insights from statistics," in ICCV, 2, pp. 251-256, 2001.
12. N. Cristianini and J. Shawe-Taylor, Support Vector Machines and other kernel-based methods, Cambridge University Press, 2000.
13. J. Canny, "A computational approach to edge detection," IEEE Trans. Pattern Anal. Mach. Intell. 8(6), pp. 679-698, 1986.
14. R. E. Schapire, "A brief introduction to boosting," in Proc. of the 16th Int'l Joint Conf. on Artificial Intelligence, pp. 1401-1406, 1999.
15. K. Degenhardt, R. Mathew, B. Beaudoin, K. Bray, D. Anderson, G. C. nd C. Mukherjee, Y. Shi, C. Gelinas, Y. Fan, D. A. Nelson, S. Jin, and E. White, "Autophagy promotes tumor cell survival and restricts necrosis, inflammation, and tumorigenesis," Cancer Cell 1, pp. 51-64, 2006.