Detection and segmentation of cervical cell cytoplast and nucleus

International Journal of Imaging Systems and Technology

Volumn 19, Issue 3, 2009, Pages 260-270

  Lin, Chuen Horng ^a   Chan, Yung Kuan ^b   Chen, Chun Chieh ^b  

^a NATIONAL TAICHUNG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b NATIONAL CHUNG HSING UNIVERSITY   (Taiwan)

Author keywords

Cervical smear screening; Coarse; Edge detection; Level set; Thinning; Two group

Indexed keywords

CERVICAL SMEAR SCREENING; COARSE; LEVEL SET; THINNING; TWO-GROUP;

CELL MEMBRANES; DETECTORS; EDGE DETECTION; FEATURE EXTRACTION; LEVEL MEASUREMENT;

PIXELS;

EID: 69749122836     PISSN: 08999457     EISSN: 10981098     Source Type: Journal    
DOI: 10.1002/ima.20198     Document Type: Article

References (21)

1. J. Canny, A computational approach to edge detection, IEEE Trans Pattern Anal Mach Intell 8 (1986), 679-698.
2. V. Caselles, R. Kimmel, and G. Sapiro, Geodesic active contours, Int J Comput Vis 22 (1997), 61-79.
3. T. F. Chan and L. A. Vese, Active contours without edges, IEEE Trans Image Process 10 (2001), 266-277.
4. C.M. Chen, H. Lu, and Y.C. Lin, An early vision-based snake model for ultrasound image segmentation, Ultrasound Med Biol 26 (2000), 273-285.
5. C.A. Davatzikos and J.L. Prince, An active contour model for mapping the cortex, IEEE Trans Med Image 14 (1995), 65-80.
6. G. Kovalski, R. Beyar, R. Shofti, and H. Azhari, Three-dimensional automatic quantitative analysis of intravascular ultrasound images, Ultrasound Med Biol 26 (2000), 527-537.
7. F. Leymarie and M.D. Levine, Tracking deformable objects in the plane using an active contour model, IEEE Trans Pattern Anal Mach Intell 15 (1993), 617-634.
8. N.A. Mat-Isa, M.Y. Mashor, and N.H. Othman, Seeded region growing features extraction algorithm; its potential use in improving screening for cervical cancer, Int J Comput Internet Manage 13 (2005), 61-70.
9. S. Osher and J.A. Sethian, Fronts propagating with curvature dependent speed: Algorithms based on Hamilton-Jacobi formulations, J Comput Phys 79 (1988), 12-49.
10. N. Otsu, A threshold selection method from gray-level histograms, IEEE Trans Syst Man Cybern 9 (1979), 62-66.
11. M. Sezgin and B. Sankur, Survey over image thresholding techniques and quantitative performance evaluation, J Electron Imaging 13 (2004), 146-165.
12. E. Sifakis, C. Garcia, and G. Tziritas, Bayesian level sets for image segmentation, J Vis Commun Image Rep 13 (2002), 44-64.
13. K. Siddiqi, Y.B. Lauziere, A. Tannenbaum, and S.W. Zucker, Area and length minimizing flows for shape segmentation, Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition, Vol.7, 1998, pp. 433-443.
14. H. Tamura, S. Mori, and T. Yamawaki, Texture features corresponding to visual perception, IEEE Trans Syst Man Cybern 8 (1978), 460-473.
15. C.J. Tseng, Prevention and Cure that Cervix Cancer and Cervix Cancer are Previous, Technique Report, Cervix Cancer Prevention and Cure Teaching Material of National Health Administration of the Republic of China.
16. D.J. Williams and M. Shah, A fast algorithm for active contours and curvature estimation, CVGIP: Image Underst 55 (1992), 14-26.
17. C. Xu, D.L. Pham, and J.L. Prince, "Medical image segmentation using deformable models", In: Handbook of medical imaging: Medical imaging processing and analysis, J.M. Fitzpatrick and M. Sonka, (Editors), SPIE-The International Society for Optical Engineering, P.O. Box 10, Bellingham, WA 98227-0010, May, 2000, Vol.2, pp. 129-174.
18. C. Xu, D.L. Pham, M.E. Rettmann, D.N. Yu, and J.L. Prince, Reconstruction of human cerebral cortex from magnetic resonance images, IEEE Trans Med Image 18 (1999), 467-480.
19. C. Xu and J.L. Prince, Gradient vector flow: A new external force for snakes, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1997, pp. 66-71.
20. C. Xu and J.L. Prince, Snakes, shapes, and gradient vector flow, IEEE Trans Image Proc 7 (1998), 359-369.
21. K.J. Zhong, Gynaecology's cell's pathology, URL Available at: http://www.cgmh.com.tw/intr/intr5/c6700/OBGYN/teaching/index/pro.htm.