An automatic indirect immunofluorescence cell segmentation system

Mathematical Problems in Engineering

Volumn 2014, Issue , 2014, Pages

  Chan, Yung Kuan ^a   Huang, Der Chen ^a   Liu, Kuo Ching ^b   Chen, Rong Tai ^a   Jiang, Xiaoyi ^c  

^a NATIONAL CHUNG HSING UNIVERSITY   (Taiwan)

^b CHINA MEDICAL UNIVERSITY   (Taiwan)

^c UNIVERSITY OF MÜNSTER   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIGENS; CELL CULTURE; CELL PROLIFERATION; DIAGNOSIS; FLUORESCENCE; IMAGE SEGMENTATION;

ANTINUCLEAR AUTO-ANTIBODIES; AUTOIMMUNE DISEASE; AUTOMATIC INSPECTION; AUTOMATIC INSPECTION SYSTEM; CELL POPULATIONS; CELL SEGMENTATION; FLUORESCENCE PATTERNS; INDIRECT IMMUNOFLUORESCENCE;

CELLS;

EID: 84902146447     PISSN: 1024123X     EISSN: 15635147     Source Type: Journal    
DOI: 10.1155/2014/501206     Document Type: Article

References (23)

1. Althoff K., Degerman J., Gustavsson T., Combined segmentation and tracking of neural stem-cells. Image Analysis 2005 3540 282 291 Lecture Notes in Computer Science 10.1007/11499145-30 (Pubitemid 41422672)
2. Sack U., Knoechner S., Warschkau H., Pigla U., Emmrich F., Kamprad M., Computer-assisted classification of HEp-2 immunofluorescence patterns in autoimmune diagnostics. Autoimmunity Reviews 2003 2 5 298 304 2-s2.0-0043264310 10.1016/S1568-9972(03)00067-3 (Pubitemid 37083498)
3. Huang Y.-L., Jao Y.-L., Hsieh T.-Y., Chung C.-W., Adaptive automatic segmentation of HEp-2 cells in indirect immunofluorescence images. Proceedings of the IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC '08) June 2008 418 422 2-s2.0-50949106869 10.1109/SUTC.2008.73
4. Price J. H., Gough D. A., Comparison of phase-contrast and fluorescence digital autofocus for scanning microscopy. Cytometry 1994 16 4 283 297 2-s2.0-0028136288 10.1002/cyto.990160402 (Pubitemid 24246395)
5. Eddins S., The Watershed Transform: Strategies for Image Segmentation. Newsletters-MATLAB News & Notes, February 2002, http://www.mathworks.com/ company/newsletters/articles/the-watershed-transform-strategies-for-image- segmentation.html
6. Tang C., Ewert B., Automatic tracking of neural sem cells. Proceedings of the APRS Workshop on Digital Image Computing (WDIC '05) February 2005 Brisbane, Australia 61 66
7. Yan P., Zhou X., Shah M., Wong S. T. C., Automatic segmentation of high-throughput RNAi fluorescent cellular images. IEEE Transactions on Information Technology in Biomedicine 2008 12 1 109 117 2-s2.0-39449105350 10.1109/TITB.2007.898006 (Pubitemid 351266649)
8. Chaudry, Cell Culture. http://www.scq.ubc.ca/cell-culture/
9. Cooper S., A unifying model for the G1 period in prokaryotes and eukaryotes. Nature 1979 280 5717 17 19 2-s2.0-0018426675 10.1038/280017a0 (Pubitemid 9221168)
10. Olson D. L., Delen D., Advanced Data Mining Techniques 2008 1st New York, NY, USA Springer
11. Otsu N., A threshold selection method from gray-level histogram. IEEE Trans Syst Man Cybern 1979 9 1 62 66 2-s2.0-0018306059 10.1109/TSMC.1979.4310076 (Pubitemid 9413341)
12. Makhoul J., Francis K., Richard S., Ralph W., Performance measures for information extraction. The Proceedings of DARPA Broadcast News Workshop February 1999 Herndon, Va, USA 249 252
13. Cumani A., Edge detection in multispectral images. Graphical Models and Image Processing 1991 53 1 40 51 2-s2.0-0026359688 10.1016/1049-9652(91)90018-F ZBL0774.68112
14. Gonzalez R. C., Woods R. E., Digital Image Processing 2002 Upper Saddle River, NJ, USA Prentice Hall
15. Hagyard D., Razaz M., Atkin P., Analysis of watershed algorithms for grayscale images. Proceedings of the Processing of IEEE International Conferences on Image Processing March 1996 41 44
16. Karantzalos K., Argialas D., Improving edge detection and watershed segmentation with anisotropic diffusion and morphological levellings. International Journal of Remote Sensing 2006 27 24 5427 5434 2-s2.0-34250847525 10.1080/01431160600944010 (Pubitemid 46978556)
17. Orbert C. L., Bengtsson E. W., Nordin B. G., Watershed segmentation of binary images using distance transformations. The Processing of SPIE: Nonlinear Image Processing IV 1993 1902 159 170
18. Sun H., Yang J., Ren M., A fast watershed algorithm based on chain code and its application in image segmentation. Pattern Recognition Letters 2005 26 9 1266 1274 2-s2.0-18444389172 10.1016/j.patrec.2004.11.007 (Pubitemid 40644690)
19. Meyer F., Topographic distance and watershed lines. Signal Processing 1994 38 1 113 125 2-s2.0-0028464661 10.1016/0165-1684(94)90060-4 ZBL0811.68125
20. Borgefors G., Distance transformations in digital images. Computer Vision, Graphics, & Image Processing 1986 34 3 344 371 2-s2.0-0022927138 10.1016/S0734-189X(86)80047-0
21. Yang-Mao S.-F., Chan Y.-K., Chu Y.-P., Edge enhancement nucleus and cytoplast contour detector of cervical smear images. IEEE Transactions on Systems, Man, and Cybernetics B: Cybernetics 2008 38 2 353 366 2-s2.0-41649109418 10.1109/TSMCB.2007.912940 (Pubitemid 351479558)
22. Davies E., Machine Vision: Theory, Algorithms and Practicalities 1990 chapter 5 Academic Press
23. Sezgin M., Sankur B., Survey over image thresholding techniques and quantitative performance evaluation. Journal of Electronic Imaging 2004 13 1 146 168 2-s2.0-1842422015 10.1117/1.1631315