BioSig: A bioinformatic system for studying the mechanism of inter-cell signaling

Proceedings - IEEE International Symposium on Bio-Informatics and Biomedical Engineering, BIBE 2000

Volumn , Issue , 2000, Pages 281-288

  Parvin, B ^a   Cong, G ^a   Fontenay, G ^a   Taylor, J ^a   Henshall, R ^a   Barcellos Hoff, M H ^a  

^a LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

Author keywords

Bioinformatics; Data models; Image analysis; In vitro; In vivo; Informatics; Optical microscopy; Protocols; Signal mapping; Statistical analysis

Indexed keywords

BIOINFORMATICS; BIOMEDICAL ENGINEERING; DATA STRUCTURES; IMAGE ANALYSIS; INFORMATION SCIENCE; MAPPING; NETWORK ARCHITECTURE; NETWORK PROTOCOLS; OBJECT-ORIENTED DATABASES; OPTICAL MICROSCOPY; SIGNALING; STATISTICAL METHODS;

EXPERIMENTAL PROTOCOLS; FUNCTIONAL DATA MODELING; FUNCTIONAL INFORMATION; IN-VITRO; IN-VIVO; INFORMATICS; SIGNAL MAPPING; STRUCTURAL INFORMATION;

CELL SIGNALING;

EID: 84943251239     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBE.2000.889619     Document Type: Conference Paper

References (15)

1. A. Amini, T. Weymouth, and R. Jain. Using dynamic programming for solving variational problems in vision. IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 855-867, 1990.
2. S. Han, D. Goldgof, and K. Bowyer. Using hyperquadric for shape recovery from rane data. In Proceedings of the IEEE International Conference on Computer Vision, pages 292-296, 1993.
3. A. Hanson. Hyperquadrics: smoothly deformable shapes with convex polyhedral bounds. Computer Vision, Graphics, and Image Processing, 44:191-210, 1988.
4. Y. Jin, Jayasooriah, and R. Sinniah. Clump splitting through concavity analysis. Pattern Recognition, 15:1013-1018, 1994.
5. S. Kumar, S. Han, D. Goldgof, and K. Boeyer. On recovering hyperquadrics from range data. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(11):1079-1083, 1995.
6. O. Monga, N. Ayache, and P. Sander. From voxel to intrinsic surface features. Image and Vision Computing, 10(6), 1992.
7. O. Monga, S. Benayoun, and O. Faugeras. From partial derivatives of 3d density images to ridge lines. In Proceedings of the Conference on Computer Vision and Pattern Recognition, pages 354-359, 1992.
8. B. Parvin, J. Taylor, and et al. Deepview: A channel for distributed microscopy. 1999.
9. W. Press, S. Teukollsky, W. Vetterling, and B. Flannery. Numerical Recipes in C. Cambridge Unvi. Press, 1992.
10. Bellman R. Dynamic Programming. Princeton University Press, 1957.
11. M. Sonka, V. Hlavac, and R. Boyle. Image Processing analysis and Machine Vision. Chapman & Hall, 1995.
12. H. Talbot and I Villalobos. Binary image segmentation using weighted skeletons. SPIE Image algebra and morphological image processing, 1769:393-403, 1992.
13. J. Thirion. New feature points based on geometric invariants for 3d image registration. International Journal of Computer Vision, 18(2):121-137, 1996.
14. J. Thirion and A. Gourdon. The 3d matching lines algorithm. Graphical Models and Image Processing, 58(6):503-509, 1996.
15. W. Wang. Banary image segmentation of aggregates based on polygonal approximation and classification of concavities. Pattern Recognition, 31(10):1502-1524, 1998.