Using multimodal information for the segmentation of fluorescent micrographs with application to Virology and microbiology

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2011, Pages 6487-6490

  Held, Christian ^a   Wenzel, Jens ^b   Webel, Rike ^b   Marschall, Manfred ^b   Lang, Roland ^b   Palmisano, Ralf ^b   Wittenberg, Thomas ^a  

^a FRAUNHOFER INSTITUTE FOR INTEGRATED CIRCUITS IIS   (Germany)

^b UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CELL NUCLEUS; CELL TYPES; DATA SETS; FAST-MARCHING; GROUND TRUTH; LARGE DATASETS; LEVEL SET; MULTI-MODAL INFORMATION; OPTIMAL PARAMETER; REPRODUCIBILITIES; ROBUST SEGMENTATION; SEGMENTATION METHODS; SEGMENTATION QUALITY; WATERSHED TRANSFORM;

FLUORESCENCE; FLUORESCENCE MICROSCOPY; MICROBIOLOGY; NUMERICAL METHODS; QUALITY CONTROL;

IMAGE SEGMENTATION;

ALGORITHM; ANIMAL; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOLOGY; CELL NUCLEUS; CYTOLOGY; FLUORESCENCE MICROSCOPY; HELA CELL; HUMAN; IMAGE PROCESSING; INFORMATION PROCESSING; MACROPHAGE; METABOLISM; METHODOLOGY; MICROBIOLOGICAL EXAMINATION; MOUSE; OBSERVER VARIATION; REPRODUCIBILITY; STATISTICAL MODEL; HELA CELL LINE;

ALGORITHMS; ANIMALS; AUTOMATIC DATA PROCESSING; CELL NUCLEUS; COMPUTATIONAL BIOLOGY; HELA CELLS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MACROPHAGES; MICE; MICROBIOLOGICAL TECHNIQUES; MICROSCOPY, FLUORESCENCE; MODELS, STATISTICAL; OBSERVER VARIATION; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS;

EID: 84864600922     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6091601     Document Type: Conference Paper

References (9)

1. T. Wittenberg, F. Becher, M. Hensel, and D. G. Steckhan, "Image segmentation of cell nuclei based on classification in the color space," IFMBE Proceedings, vol. 22, no. 7, pp. 613-616, 2009.
2. J. A. Sethian, "Level set methods and fast marching methods," Cambridge University Press, 1999.
3. J. Roerdink and A. Meijster, "The watershed transform: Definitions, algorithms and parallelization strategies," Mathematical morphology, p. 187, 2000.
4. D. E. Goldberg, Genetic algorithms in search, optimization, and machine learning. Addison-Wesley, 1989.
5. L. Vincent, "Morphological grayscale reconstruction in image analysis: Applications and efficient algorithms," Image Processing, IEEE Transactions on, vol. 2, no. 2, pp. 176-201, 1993.
6. B. Nilsson and A. Heyden, "A fast algorithm for level set-like active contours," Pattern Recognition Letters, vol. 24, no. 9-10, p. 13311337, 2003.
7. M. Wall, GAlib: A C++ library of genetic algorithm components, 1996.
8. C. J. V. Rijsbergen, "Information retrieval," Department of Computer Science, University of Glasgow, 1979.
9. R. Webel, J. Milbradt, S. Auerochs, V. Schregel, C. Held, K. Nbauer, E. Razzazi-Fazeli, C. Jardin, T. Wittenberg, H. Sticht, and M. Marschall, "Two isoforms of the protein kinase pUL97 of human cytomegalovirus are differentially regulated in their nuclear translocation," The Journal of General Virology, vol. 92, no. 3, pp. 638-649, 2011.