Towards recovery of 3D chromosome structure

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

Volumn 2004-January, Issue January, 2004, Pages

  Babu, Sabarish ^a   Liao, Pao Chuan ^a   Shin, Min C ^a   Tsap, Leonid V ^b  

^a University of North Carolina at Charlotte   (United States)

^b LAWRENCE LIVERMORE NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MOLECULAR BIOLOGY; THREE DIMENSIONAL COMPUTER GRAPHICS; VISUALIZATION;

AUTOMATIC RECOVERY; AUTOMATIC VISUALIZATION; CHROMOSOME ANALYSIS; CHROMOSOME STRUCTURE; GENES MUTATION; HISTOGRAM ANALYSIS; POLYLINE; RECONSTRUCTION IMAGE; THRESHOLDING; TOMOGRAPHIC RECONSTRUCTION;

CHROMOSOMES;

EID: 84932617112     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2004.466     Document Type: Conference Paper

References (11)

1. B. Lerner, H. Guterman, and I. Dinstein, ' A Classification-Driven Partially Occluded Object Segmentation (CPOOS) Method with Application to Chromosome Analysis,' in IEEE Trans on Signal Processing, 46(10), pp. 2841-2847, (1998).
2. E. Vidal, and M. J. Castro, 'Classification of Banded Chromosomes using Error-Correcting Grammatical Interface (ECGI) and Multilayer Perceptron (MLP),' in VII National Symposium on Pattern Recognition and Image Analysis, pp. 31-36, (1997).
3. H. Shi, P. Gader, and H. Li, 'Parallel Mesh Algorithm for Grid Graph Shortest Pat hs with Application to Separation of Touching Chromosomes,' in The Journal of Supercomputing, Kluwer Academic Publishers, Boston, USA, (1996).
4. R. Jain, R. Kasturi, and B. G. Schunck, Machine Vision, MIT Press and McGraw-Hill, Boston, USA, pp.194-198, (1995).
5. A. Hoover, G. Jean-Baptiste, X. Jiang, P. J. Flynn, H. Bunke, D. Goldgof, K. Bowyer, D. Eggert, A. Fitzgibbon, and R Fisher, ' An Experimental Comparison of Range Image Segmentation Algorithms, ' in IEEE Trans on PAMI, pp. 673-689, (July 1996).
6. M. Kass, A. Witkin, and D.Terzopoulos, 'Snake: Actve Contour Models, ' in Proceedings of First International Conference on Computer Vision, pp. 259-269, (1987).
7. D. J. Williams, and M. Shah, 'A Fast Algorithm for Active Contours and Curvature Estimation, ' in Imag e Understanding, Vol. 55, pp. 14-26, (1991).
8. F. Remondino, 'From point cloud to surface: the modeling and visualization problem ' , International Archives of Photogrammetry, Remote Sensing and Spatial Info rmation Sciences, Vol. XXXIV-5/W10. International Workshop on Visualization and Animation of Reality-based 3D Models, Tarasp-Vulpera, Switzerland (Feb 2003).
9. B. Lerner, M. Levinstein, B. Rosenberg, H. Guterman, L. Dinstein, and Y. Romem, ' Feature selection and chromosome classification using a multilayer perceptron neural network,' in IEEE International Conference on Neural Networks, Vol. 6, pp. 3540-3545, (1994).
10. P. Engelhardt, J. Ruokolainen, A. Dulenc, L. G. Överstedt, H. Mehlin, and U. Skoglund, ' 3Dreconstruction by electron tomography (EMT) of wholemounted DNA-depleted metaphase chromosomes show scaffolding macro coils, 30-nm f ibers and 30-nm particles,' in International Conference on 3D Image Processing in Microscopy, (1994).
11. J. M. Keller, P. Gader, O. Sjahputera, C. W. Caldwell, and H.-M. T. Huang, ' A fuzzy logic rule-based system for chromosome recognition,' in Proceedings of the Eighth IEEE Symposium on Computer-Based Medical Systems, pp. 135-132, (1995).