Automatic nuclei segmentation and spatial FISH analysis for cancer detection

Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009

Volumn , Issue , 2009, Pages 6718-6721

  Nandy, Kaustav ^a   Gudla, Prabhakar R ^a   Meaburn, Karen J ^b   Misteli, Tom ^b   Lockett, Stephen J ^a  

^a SAIC FREDERICK INC   (United States)

^b NATIONAL CANCER INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMEDICAL SIGNAL PROCESSING; DISEASES; FISH; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE SEGMENTATION; SPATIAL VARIABLES MEASUREMENT;

CLINICAL APPLICATION; EARLY CANCER DETECTION; FLUORESCENT IN SITU HYBRIDIZATION; GENE LOCALIZATION; IMAGE PROCESSING TECHNIQUE; NUCLEI SEGMENTATION; PATTERN RECOGNITION ALGORITHMS; SPATIAL STATISTICAL ANALYSIS;

PATTERN RECOGNITION;

EID: 77951015411     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2009.5332922     Document Type: Conference Paper

References (13)

1. T. Takizawa, K. J. Meaburn and T. Misteli, The Meaning of Gene Positioning,Cell, 2008, Vol.135, Issue 1, pp 9-13
2. K. J. Meaburn and T. Misteli, Cell biology: Chromosome territories, Nature, 2007, 445, pp 379-381
3. K. J. Meaburn, P. R. Gudla, S. Khan, S. J. Lockett and T. Misteli, Cancer Detection Based on Spatial Genome Organization, submitted to Journal of Cell Biology
4. P. R. Gudla, K. Nandy, J. Collins, K. J. Meaburn, T. Misteli and S. J. Lockett, A High-Throughput System for Segmenting Nuclei Using Multiscale Techniques, Cytometry Part A, 2008, Vol.73A, Issue 5, pp 451-466
5. D. McCullough, P. Gudla, B. Harris, J. Collins, K. Meaburn, M. Nakaya, T. Yamaguchi, T. Misteli, S. J. Lockett, Segmentation of Whole Cells and Cell Nuclei From 3-D Optical Microscope Images Using Dynamic Programming, IEEE Transactions on Medical Imaging, 2008, Vol.27, pp 723734
6. V. Laurain, H. Ramoser, C. Nowak, G.E. Steiner and R. Ecker, "Fast Automatic Segmentation of Nuclei in Microscopy Images of Tissue Sections", Proceedings of the 2005 IEEE Engineering in Medicine and Biology Conference, Shanghai, China, 2005, pp 3367-3370
7. R. O. Duda, P. E. Hart and D. G. Stork, Pattern Classification, Second Edition, 2000, Wiley-Interscience, New York, N. Y.
8. J. Kittler, M. Hatef, R. P. W. Duin, and J. Matas, On Combining Classifiers, IEEE Transactions On Pattern Analysis and Machine Intelligence, 1998, Vol.20, No.3, pp 226-239
9. LastWave, http://www.cmap.polytechnique.fr/~bacry/LastWave
10. DipImage, http://www.diplib.org/
11. C. Li, C. Xu, C. Gui and M. D. Fox, Level Set Evolution Without Re-initialization: A New Variational Formulation, Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005, San Diego, C. A., pp 430-436
12. P. F. Felzenszwalb and D. P. Huttenlocher, Efficient Graph-Based Image Segmentation, International Journal of Computer Vision, 2004, Vol.59, Issue 2, pp 167-181
13. P. R. Gudla, K. Nandy, M. Philip, K. J. Meaburn, T. Misteli and S. J. Lockett, FLO:An Unbiased Spatial Analysis Of FISH Signals In Irregular Shaped Nuclei, manuscript under preperation