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Volumn , Issue , 2006, Pages 2094-2097

A high throughput screening algorithm for leukemia cells

Author keywords

Cell clusters; Cell counting; Image analysis; Image processing

Indexed keywords

ALGORITHMS; CELLS; CLASSIFICATION (OF INFORMATION); IMAGE ANALYSIS; PIXELS;

EID: 39049123852     PISSN: 08407789     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCECE.2006.277785     Document Type: Conference Paper
Times cited : (6)

References (12)
  • 1
    • 0023929855 scopus 로고
    • A comparison of some quick and simple threshold selection methods for stained cells
    • C. Macaulay, "A comparison of some quick and simple threshold selection methods for stained cells," Analytical and Quantitative Cytology and Histology, vol. 10, p. 134, 1988.
    • (1988) Analytical and Quantitative Cytology and Histology , vol.10 , pp. 134
    • Macaulay, C.1
  • 2
    • 0023823103 scopus 로고
    • Generalized threshold selection for edge detection
    • J. F. Hadon, "Generalized threshold selection for edge detection," Pattern Recognit., vol. 21, pp. 195-203, 1988.
    • (1988) Pattern Recognit , vol.21 , pp. 195-203
    • Hadon, J.F.1
  • 3
    • 0023035566 scopus 로고
    • An iterative region-growing process for cell image segmentation based on local color similarity and global shape criteria
    • C. Garbay, "An iterative region-growing process for cell image segmentation based on local color similarity and global shape criteria," Analytical and Quantitative Cytology and Histology, vol. 8, p. 25, 1986.
    • (1986) Analytical and Quantitative Cytology and Histology , vol.8 , pp. 25
    • Garbay, C.1
  • 4
    • 0022816101 scopus 로고
    • Segmentation of stained blood cell images measured at high scanning density with high magnification and high numerical aperture optics
    • H. Harms, H. Aus, M. Haucke, and U. Gunzer, "Segmentation of stained blood cell images measured at high scanning density with high magnification and high numerical aperture optics," Cytometry, vol. 7, pp. 522-531, 1986.
    • (1986) Cytometry , vol.7 , pp. 522-531
    • Harms, H.1    Aus, H.2    Haucke, M.3    Gunzer, U.4
  • 5
    • 84990673677 scopus 로고
    • Segmentation of blood cell image captured by single ccd color tv camera
    • A. Hashizume, "Segmentation of blood cell image captured by single ccd color tv camera," Syst Comput Japan, vol. 23, pp. 75-84, 1992.
    • (1992) Syst Comput Japan , vol.23 , pp. 75-84
    • Hashizume, A.1
  • 7
    • 18744438529 scopus 로고    scopus 로고
    • Artificial neural network-aided image analysis system for cell counting
    • P. Sjostrom, B. Frydel, and L. Wahlberg, "Artificial neural network-aided image analysis system for cell counting," Cytometry, vol. 36, pp. 18-26, 1999.
    • (1999) Cytometry , vol.36 , pp. 18-26
    • Sjostrom, P.1    Frydel, B.2    Wahlberg, L.3
  • 8
    • 0346243996 scopus 로고    scopus 로고
    • An image analysis-based approach for automated counting of cancer cell nuclei in tissue sections
    • C. G. Loukas, G. D. Wilson, V. Borivoj, and A. Linney, "An image analysis-based approach for automated counting of cancer cell nuclei in tissue sections," Cytometry, vol. 55A, pp. 30-42, 2003.
    • (2003) Cytometry , vol.55 A , pp. 30-42
    • Loukas, C.G.1    Wilson, G.D.2    Borivoj, V.3    Linney, A.4
  • 10
    • 0027658896 scopus 로고
    • A review on image segmentation techniques
    • N. Pal and S. Pal, "A review on image segmentation techniques." Pattern Recognit., vol. 26, p. 1277, 1993.
    • (1993) Pattern Recognit , vol.26 , pp. 1277
    • Pal, N.1    Pal, S.2
  • 11
    • 39049095411 scopus 로고    scopus 로고
    • R. C. Gonzalez and R. Woods, Digital Image Processing, 2nd ed., A. Dworkin, Ed. T. Robbins, 2002.
    • R. C. Gonzalez and R. Woods, Digital Image Processing, 2nd ed., A. Dworkin, Ed. T. Robbins, 2002.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.