Accurate localization of cell nuclei in PAP smear images using Gradient Vector flow deformable models

BIOSIGNALS 2010 - Proceedings of the 3rd International Conference on Bio-inpsired Systems and Signal Processing, Proceedings

Volumn , Issue , 2010, Pages 284-289

  Plissiti, Marina E ^a   Nikou, Christophoros ^a   Charchanti, Antonia ^b  

^a UNIVERSITY OF IOANNINA   (Greece)

^b UNIVERSITY OF IOANNINA   (Greece)

Author keywords

Active contours; Gradient Vector Flow (GVF) snake; Nuclei segmentation; PAP stained cervical smear images

Indexed keywords

ACTIVE CONTOURS; AUTOMATED METHODS; CELL NUCLEUS; DATA SETS; DEFORMABLE MODELS; EPITHELIAL CELLS; FUZZY C MEANS CLUSTERING; GRADIENT VECTOR FLOW; GRADIENT VECTOR FLOW (GVF) SNAKE; INITIAL APPROXIMATION; NUCLEI SEGMENTATION; PAP SMEAR; PAP STAINED CERVICAL SMEAR IMAGES; THREE PHASIS;

CLUSTERING ALGORITHMS; MATHEMATICAL MORPHOLOGY; SIGNAL PROCESSING; VECTORS;

IMAGE SEGMENTATION;

EID: 77956436422     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Lezoray, O., Cardot, H., 2002. Cooperation of color pixel classification schemes and color watershed: A study for microscopic images, IEEE Transactions on Image Processing, Vol. 11, no. 7, pp. 783-789.
2. Costa, J. A. F., Mascarenhas, N. D. A., De Andrade Netto, M.L, 1997. Cell nuclei segmentation in noisy images using morphological watersheds, Proceedings of SPIE, International Society for Optical Engineering, Vol. 3164, pp. 314-324.
3. Begelman, G., Gur, E., Rivlin, E., Rudzsky, M., Zalevsky, Z., 2004. Cell nuclei segmentation using fuzzy logic engine, Proceedings of IEEE International Conference on Image Processing (ICIP '04), Vol. 5, pp. 2937-2940.
4. Cheng, J., Rajapakse, J. C., 2009. Segmentation of clustered nuclei with shape markers and marking function, IEEE Transactions on Biomedical Engineering, Vol. 56, no.3, pp. 741-748.
5. Bamford, P., Lovell, B., 1998. Unsupervised cell nucleus segmentation with active contours, Signal Processing, Vol. 71, no. 2, pp. 203-213.
6. Hu, M., Ping, X., Ding, Y., 2004. Applying Fuzzy Growing Snake to Segment Cell Nuclei in Color Biopsy Images, Lecture Notes in Computer Science, Vol. 3314, pp. 672-677.
7. Plissiti, M. E., Charchanti, A., Krikoni, O., Fotiadis, D. I., 2006. Automated segmentation of cell nuclei in Pap smear images, Proceedings of IEEE International Special Topic Conference on Information Technology in Biomedicine (ITAB '06), Greece.
8. Plissiti, M. E., Tripoliti., E. E., Charchanti, A., Krikoni, O., Fotiadis, D. I., 2008. Automated detection of cell nuclei in Pap stained smear images using fuzzy clustering, Proceedings of the 4th European Congress for Medical and Biomedical Engineering (EMBEC '08).
9. Kass, M., Witkin, A., Terzopoulos, D., 1988. Snakes: active contour models. International Journal of Computer Vision, Vol. 1, pp 321-331.
10. Xu C., Prince, J., 1998. Snakes, shapes and gradient vector flow. IEEE Transactions on Image Processing, Vol. 7, No 3, pp 359-369.
11. Soille, P., 1999. Morphological Image Analysis:Principles and Applications, New York: Springer-Verlag.
12. Bezdek, J. C., Pal, S. K., 1992. Fuzzy Models for Pattern Recognition, New York, IEEE Press.