Self-learning segmentation and classification of cell-nuclei in 3D volumetric data using voxel-wise gray scale invariants

Lecture Notes in Computer Science

Volumn 3663, Issue , 2005, Pages 377-384

  Fehr, Janis ^a   Ronneberger, Olaf ^a   Kurz, Haymo ^a   Burkhardt, Hans ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ANISOTROPY; BIOLOGICAL MEMBRANES; CELLS; CLASSIFICATION (OF INFORMATION); DATABASE SYSTEMS; FLUORESCENCE; HUMAN COMPUTER INTERACTION; INTERACTIVE COMPUTER SYSTEMS; LASERS; MATHEMATICAL MODELS; MICROSCOPES; NONLINEAR SYSTEMS; SCANNING;

CHICKEN CHORIOALLANTOIC MEMBRANES; FLUORESCENT MARKED CELL NUCLEI; LASER SCANNING MICROSCOPE (LSM); VOXEL-WISE GRAY SCALE INVARIANTS;

IMAGE SEGMENTATION;

EID: 27244448858     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11550518_47     Document Type: Conference Paper

References (10)

1. Ronneberger, O., Fehr, J., Burkhardt, H.: Voxel-wise gray scale invariants for simultaneous segmentation and classification. In: Pattern Recognition, Proceedings of the 27th DAGM Symposium, Vienna, Austria, Lecture Notes in Computer Science. (2005)
2. Ronneberger, O., Fehr, J., Burkhardt, H.: Voxel-wise gray scale invariants for simultaneous segmentation and classification - theory and application to cell-nuclei in 3d volumetric data. Internal report 2/05, HF-LMB, University Freiburg (2005)
3. Schulz-Mirbach, H.: Invariant features for gray scale images. In Sagerer, G., Posch, S., Kummert, F., eds.: 17. DAGM - Symposium " Mustererkennung", Bielefeld, Reihe Informatik aktuell, Springer (1995) 1-14
4. Burkhardt, H., Siggelkow, S.: Invariant features in pattern recognition - fundamentals and applications. In Kotropoulos, C., Pitas, I., eds.: Nonlinear Model-Based Image/Video Processing and Analysis, John Wiley & Sons (2001) 269-307
5. Ronneberger, O., Burkhardt, H., Schultz, E.: General-purpose Object Recognition in 3D Volume Data Sets using Gray-Scale Invariants - Classification of Airborne Pollen-Grains Recorded with a Confocal Laser Scanning Microscope. In: Proceedings of the International Conference on Pattern Recognition, Quebec, Canada (2002)
6. Ronneberger, O., Schultz, E., Burkhardt, H.: Automated Pollen Recognition using 3D Volume Images from Fluorescence Microscopy. Aerobiologia 18 (2002) 107-115
7. Vapnik, V.N.: The nature of statistical learning theory. Springer (1995)
8. Ronneberger, O.: Libsvmtl - a support vector machine template library, download at: http://lmb.informatik.uni-freiburg.de/bnbsoft/libsvmtl/ (2004)
9. Kurz, H., et al.: Pericytes in experimental mda-mb231 tumor angiogenesis. Histochem Cell Biol (2002) 117:527-534
10. Kurz, H., et al.: Automatic classification of cell nuclei and cells during embryonic vascular development. Ann Anat 2005; 187 (Suppl): 130. (2005)