Segmentation of cell nuclei within complex configurations in images with colon sections

Proceedings - 2010 IEEE 6th International Conference on Intelligent Computer Communication and Processing, ICCP10

Volumn , Issue , 2010, Pages 243-246

  Rogojanu, Radu ^a   Bises, Giovanna ^a   Smochina, Cristian ^b   Manta, Vasile ^b  

^a MEDICAL UNIVERSITY OF VIENNA   (Austria)

^b GHEORGHE ASACHI TECHNICAL UNIVERSITY OF IASI   (Romania)

Author keywords

Biomedical imaging; Image segmentation; Nucleus segmentation

Indexed keywords

AUTOMATIC SEGMENTATION TECHNIQUES; BACKGROUND DETECTION; BIOMEDICAL IMAGING; CELL NUCLEUS; COLON CARCINOMA; COMPLEX CONFIGURATION; CROSS CORRELATION METHODS; DISTANCE TRANSFORMS; NEW APPROACHES; NON-UNIFORM ILLUMINATION; NUCLEUS SEGMENTATION; OUT-OF-FOCUS; PHYSICAL STRUCTURES; REGION GROWING METHODS; SEPARATION REGIONS; TISSUE SECTIONS; WATER-SHED ALGORITHM;

MEDICAL IMAGING;

IMAGE SEGMENTATION;

EID: 78650078146     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCP.2010.5606433     Document Type: Conference Paper

References (28)

1. D. Baggett, M. Nakaya, M. McAuliffe, T.P. Yamaguchi, and S. Lockett, "Whole cell segmentation in solid tissue sections," International Society for Advancement of Cytometry, vol. 67(2)-A, pp. 137-143, 2005.
2. L. V. Guimarães, A. A. Suzim, and J. Maeda, "A New Automatic Circular Decomposition Algorithm Applied to Blood Cell Images," Proceedings of IEEE Int. Conf. on Bio-Informatics & Biomedical (BIBE'00), Washington, pp. 277-280, 2000.
3. T. Figueiro, N. Schuch, L.V. Guimarães, and A. Susin, "A Method for Automatic Detection of Blood Cells on Images using Image Correlation and Connected Components," Proc. WICCGPI, São Carlos, Brazil, October 12-15, 2003.
4. T. Figueiro, N. Schuch, A. Soares, L. Guimaraes, and A. Susin, "Automatic detection of blood cells on color images using image matching and flood map," Brazilian Symposium on Computer Graphics and Image Processing, SIBGRAPI, Natal, Brasil, 2005.
5. C. Wahlby, I.M. Sintorn, F. Erlandsson, G. Borgefors, and E. Bengtsson, "Combining intensity, edge and shape information for 2D and 3D segmentation of cell nuclei in tissue sections," Journal of Microscopy, vol. 215(Pt 1), pp. 67-76, July, 2004.
6. N. Malpica, C.O. de Solórzano, J.J. Vaquero, A. Santos, I. Vallcorba, J.M. García-Sagredo, and F. del Pozo, "Applying watershed algorithms to the segmentation of clustered nuclei," Cytometry, vol. 28(4), pp. 289-297, Aug, 1997.
7. G. Cong and B. Parvin, "Model based segmentation of nuclei," Pattern Recognition, 2000, vol. 33(8), pp. 1383-1393.
8. H. Talbot and I. Villalobos, "Binary image segmentation using weighted skeletons," Proc. SPIE 1992, vol. 1769, pp. 393-403.
9. F. Cloppet and A. Boucher, "Segmentation of complex nucleus configurations in biological images," Pattern Recognition Letters, 2010, vol. 3(8), pp. 755-761.
10. C.O. de Solorzano, G. Rodriguez, A. Jones, D. Pinkel, J.W. Gray, D. Sudar, and S. Lockett, "Segmentation of confocal microscope images of cell nuclei in thick tissue sections," Journal of Microscopy, 1999, vol. 193(Pt 3), pp 212-226.
11. A. Nedzved, S. Ablameyko, and I. Pitas, "Morphological segmentation of histology cell images," The 15th International Conference on Pattern Recognition (ICPR'00), 2000, Barcelona, Spain.
12. I. Kononenko, "Machine Learning for Medical Diagnosis: History, State of the Art and Perspective," Artificial Intelligence in Medicine, vol. 23(1), pp 89-109, August, 2001.
13. M.V. Boland and R.F. Murphy, "A neural network classifier capable of recognizing the patterns of all major subcellular structures in fluorescence microscope images of HeLa cells," Bioinformatics, 2001, vol. 17(12), pp 1213-23.
14. K. Morikawa and J. Yanagida, "Visualization of individual DNA molecules in solution by light microscopy: DAPI staining method," Japanese Biochemical Society, 1981, vol. 89(2), pp. 693-696, Tokyo.
15. J. Kapuściński and B. Skoczylas "Fluorescent complexes of DNA with DAPI 4′,6-diamidine-2-phenyl indole.2HCl or DCI 4′,6-dicarboxyamide-2-phenyl indole," Nucleic Acids Res., vol. 5(10), pp. 3775-3799, 1978.
16. T.W. Nattkemper, "Automatic segmentation of digital micrographs: A survey," Journal Studies in health technology and informatics, 2005, vol. 107(2), pp 847-852.
17. A. Todman and E. Claridge, "IntroCell segmentation in histological images of striated muscle tissueduction - a perceptual grouping approach," Proceedings of Medical Image Understanding and Analysis, Oxford, 7-8 July, 1997.
18. C. Smochina, V. Manta, G. Bises, and R. Rogojanu, "Automatic cell nuclei detection in tissue sections from colorectal cancer," unpublished.
19. R.C. Gonzalez and R.E. Woods, Digital Image Processing (third edition), Reading, Massachusetts:Addison-Wesley, 1992.
20. R. Brunelli and T. Poggio, "Face Recognition: Features versus Templates", IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 15, no. 10, pp. 1042-1052, 1993.
21. J.P. Lewis, "Fast template matching," in Proc. Vision Interface, 1995, pp. 120-123.
22. C. Smochina, V. Manta and R. Rogojanu, "New discrepancy measure for segmentation algorithm evaluation," Proceeding (679) Computer Graphics and Imaging - 2010, February 17-19, 2010, Innsbruck, Austria.
23. J. Weickert "Anisotropic Diffusion in Image Processing," Teubner, Stuttgart (1998).
24. H. Scharr, J. Weickert, "An anisotropic diffusion algorithm with optimized rotation invariance," DAGM, Kiel, Germany, September 2000, pp. 460-467.
25. Breu, Heinz, Joseph Gil, David Kirkpatrick, and Michael Werman, "Linear Time Euclidean Distance Transform Algorithms," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 17, No. 5, May 1995, pp. 529-533.
26. P.E. Danielsson, "Euclidean distance mapping," Computer Graphics and Image Processing 14, pp. 227-248, Feb. 1980.
27. S. Beucher and C. Lantuejoul, "On the change of space in image analysis", Proceeding of the ICSS, Salzbourg, 1979.
28. P. Soille, "Morphological Image Analysis Principles & Applications," Springer, 2nd ed. 2001, XVI, 391 p. 260 illus.