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Volumn 42, Issue C, 2014, Pages 206-213

Computer aided system for red blood cell classification in blood smear image

Author keywords

Geometrical properties; Image processing; Neural network; Red blood cell classification

Indexed keywords


EID: 84925635828     PISSN: None     EISSN: 18770509     Source Type: Conference Proceeding    
DOI: 10.1016/j.procs.2014.11.053     Document Type: Conference Paper
Times cited : (86)

References (19)
  • 1
    • 84907379335 scopus 로고    scopus 로고
    • Automatic cell classification in human's peripheral blood images based on morphological image processing
    • M. Stumptner, D. Corbett, and M. Brooks, Editors Springer Berlin Heidelberg
    • Kim, K., et al, Automatic Cell Classification in Human's Peripheral Blood Images Based on Morphological Image Processing, in AI 2001: Advances in Artificial Intelligence, M. Stumptner, D. Corbett, and M. Brooks, Editors. 2001, Springer Berlin Heidelberg. p. 225-236.
    • (2001) AI 2001: Advances in Artificial Intelligence , pp. 225-236
    • Kim, K.1
  • 3
    • 77953886025 scopus 로고    scopus 로고
    • Approach to the anemias
    • Goldman L, Schafer AI, eds. 24th ed. Philadelphia, Pa: Saunders Elsevier chap 161
    • Bunn HF Approach to the anemias. In: Goldman L, Schafer AI, eds. Cecil Medicine. 24th ed. Philadelphia, Pa: Saunders Elsevier; 2011: chap 161.
    • (2011) Cecil Medicine
    • Bunn, H.F.1
  • 4
    • 84910097813 scopus 로고    scopus 로고
    • Comparative study of shape, intensity and texture features and support vector machine for white blood cell classification
    • Habibzadeh, M., A. Krzyzak, and T. Fevens, Comparative study of shape, intensity and texture features and support vector machine for white blood cell classification. Journal of Theoretical and Applied Computer Science, 2013. 7(1): p. 20-35.
    • (2013) Journal of Theoretical and Applied Computer Science , vol.7 , Issue.1 , pp. 20-35
    • Habibzadeh, M.1    Krzyzak, A.2    Fevens, T.3
  • 8
    • 0026739069 scopus 로고
    • Automated image detection and segmentation in blood smears
    • S. S. Poon, R. K. Ward, and B. Palcic, "Automated image detection and segmentation in blood smears," Cytometry, Vol. 13, pp. 766-774, 1992.
    • (1992) Cytometry , vol.13 , pp. 766-774
    • Poon, S.S.1    Ward, R.K.2    Palcic, B.3
  • 9
    • 84876465263 scopus 로고    scopus 로고
    • Red blood cell segmentation using active appearance model
    • 2012 IEEE 11th International Conference on
    • C. Rongtai, W. QingXiang, Z. Rui, F. Lijuan, and R. Chengmei, "Red blood cell segmentation using Active Appearance Model," in Signal Processing (ICSP), 2012 IEEE 11th International Conference on, 2012, pp. 1641-1644.
    • (2012) Signal Processing (ICSP) , pp. 1641-1644
    • Rongtai, C.1    QingXiang, W.2    Rui, Z.3    Lijuan, F.4    Chengmei, R.5
  • 10
    • 70449401660 scopus 로고    scopus 로고
    • Automatic counting of leukocytes in giemsa-stained images of peripheral blood smear
    • 2009 International Conference on
    • M. Hamghalam and A. Ayatollahi, "Automatic counting of leukocytes in giemsa-stained images of peripheral blood smear," in Digital Image Processing, 2009 International Conference on, 2009, pp. 13-16.
    • (2009) Digital Image Processing , pp. 13-16
    • Hamghalam, M.1    Ayatollahi, A.2
  • 11
    • 0037277964 scopus 로고    scopus 로고
    • Automated detection of working area of peripheral blood smears using mathematical morphology
    • J. Angulo and G. Flandrin, "Automated detection of working area of peripheral blood smears using mathematical morphology," Analytical cellular pathology, Vol. 25, pp. 37-49, 2003.
    • (2003) Analytical Cellular Pathology , vol.25 , pp. 37-49
    • Angulo, J.1    Flandrin, G.2
  • 12
    • 84860673145 scopus 로고    scopus 로고
    • Red blood cell segmentation using masking and watershed algorithm: A preliminary study
    • 2012 International Conference on
    • J. M. Sharif, M. Mswan, M. Ngadi, M. S. H. Salam, and M. Mahadi bin Abdul Jamil, "Red blood cell segmentation using masking and watershed algorithm: A preliminary study," in Biomedical Engineering (ICoBE), 2012 International Conference on, 2012, pp. 258-262.
    • (2012) Biomedical Engineering (ICoBE) , pp. 258-262
    • Sharif, J.M.1    Mswan, M.2    Ngadi, M.3    Salam, M.S.H.4    Mahadi Bin Abdul Jamil, M.5
  • 13
    • 84894272864 scopus 로고    scopus 로고
    • Image segmentation using PCNN and template matching for blood cell counting
    • 2013 IEEE International Conference on
    • S. S. Adagale and S. S. Pawar, "Image segmentation using PCNN and template matching for blood cell counting," in Computational Intelligence and Computing Research (ICCIC), 2013 IEEE International Conference on, 2013, pp. 1-5.
    • (2013) Computational Intelligence and Computing Research (ICCIC) , pp. 1-5
    • Adagale, S.S.1    Pawar, S.S.2
  • 14
    • 33750915643 scopus 로고    scopus 로고
    • Segmentation of blood images using morphological operators
    • 2000. Proceedings. 15th International Conference on
    • C. Di Rubeto, A. Dempster, S. Khan, and B. Jarra, "Segmentation of blood images using morphological operators," in Pattern Recognition, 2000. Proceedings. 15th International Conference on, 2000, pp. 397-400 Vol. 3.
    • (2000) Pattern Recognition , vol.3 , pp. 397-400
    • Di Rubeto, C.1    Dempster, A.2    Khan, S.3    Jarra, B.4
  • 16
    • 84902339108 scopus 로고    scopus 로고
    • Red blood cells classification using image processing
    • N. D. Jambhekar, "Red blood cells classification using image processing," Science Research Reporter, Vol. 1, pp. 151-154, 2011.
    • (2011) Science Research Reporter , vol.1 , pp. 151-154
    • Jambhekar, N.D.1
  • 17
    • 84857532129 scopus 로고    scopus 로고
    • Feature extraction and classification of blood cells using artificial neural network
    • 201
    • M. Veluchamy, K. Perumal, and T. Ponuchamy, "Feature extraction and classification of blood cells using artificial neural network," American Journal of Applied Sciences, Vol. 9, p. 615, 201
    • American Journal of Applied Sciences , vol.9 , pp. 615
    • Veluchamy, M.1    Perumal, K.2    Ponuchamy, T.3
  • 18
    • 0018306059 scopus 로고
    • A threshold selection method from grat-level histograms
    • N. Otsu, "A Threshold Selection Method from Grat-Level Histograms", IEEE Transaction on System, Man and Cybernetics, Vol. 9(1), pp. 62-66, 1979.
    • (1979) IEEE Transaction on System, Man and Cybernetics , vol.9 , Issue.1 , pp. 62-66
    • Otsu, N.1
  • 19
    • 84937655864 scopus 로고
    • Visual pattern recognition by moments invariants
    • M.K. Hu, "Visual Pattern Recognition by Moments Invariants", IRE Trans. Info. Theory, vol. IT-8, pp. 179-187, 1962
    • (1962) IRE Trans. Info. Theory , vol.IT-8 , pp. 179-187
    • Hu, M.K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.