[1] D.M.U. Sabino, L.F. Costa, E. G. Rizzatti et al.. Toward leukocyte recognition using morphometry, texture and color[C]. IEEE Int. Symp. on Biomedical Imaging. USA, 2004:121～124

[2] . M.U. Sabino, L.F. Costa, S. L. R. Martins et al.. Automatic leukemia diagnosis[J]. Acta Microsc., 2003, 12(1): 1-6.

[3] Fbio. Scotti. Automatic morphological analysis for acute leukemia identification in peripheral blood microscope images[C]. IEEE Int. Conf. on. Computational Intelligence for Measurements Systems and Applications(CIMSA). Italy, 2005:96～100

[4] . Kendall Preston. High-resolution leukocyte analyzers: retrospective and prospective[J]. Appl. Opt., 1987, 26(16): 3258-3265.

[5] 侯振杰. 动物骨髓细胞图像分割方法的研究[D]. 内蒙古农业大学. 2004

[6] . Beksac, M.Sinan Beksac, V. Bahadir Tipi et al.. An artificial intelligent diagnostic system on differential recognition of hematopoietic cells from microscopic images[J]. Cytometry, 1997, 30(3): 145-150.

[7] . Segmentation of complex cell clusters in microscopic images: application to bone marrow samples[J]. Cytometry Part A, 2005, 66(1): 24-31.

[8] István. Cseke. A fast segmentation scheme for white blood cell images[C]. Proceedings 11th IAPR International Conference on Image, Speech and Signal Analysis. Hoand, 1992:530～533

[9] Qingmin. Liao, Yingying Deng. An accurate segmentation method for white blood cell images[C]. IEEE Proc. Int. Symp. on Biomedical Imaging. USA, 2002:245～248

[10] Kan Jiang, Qingmin Liao, Dai Shengyang et al.. A novel white blood cell segmentation scheme using scale-space filtering and watershed clustering[C]. Proceedings 2nd International Conference on Machine Learning and Cybernetics. China, 2003:2820～2805

[11] Bjorn Nilsson, Anders Heyden. Model-based segmentation of leukocytes clusters[C]. 16th International Conference on Pattern Recognition (ICPR). Canada, 2002:727～730

[12] . A novel white blood cell segmentation scheme based on feature space clustering[J]. Soft Computing, 2006, 10(1): 12-19.

[13] I. D. Greaves, J. Davies, P. B. Musgrove. Area identification of bone marrow smears using radial-basis function networks and the HSI colour model[C]. Fifth International Conference on Image Processing and its Applications. UK, 1995:129～133

[14] . HSI颜色模型在有核骨髓细胞图像分割中的应用[J]. 计算机应用与软件, 2004, 21(9): 72-74.

[15] Heiko Hengen, Susanne Spoor, Madhukar Pandit. Analysis of blood and bone marrow smears using digital image processing techniques[C]. Proc. SPIE, 2002, 4684:624～635

[16] . 彩色骨髓相的快速分割[J]. 清华大学学报(自然科学版), 2005, 45(7): 951-954.

[17] . Keller. Snakes on the Watershed[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001, 23(10): 1201-1205.

[18] Jaesang Park, James M. Keller. Fuzzy patch label relaxation in bone marrow cell segmentation[C]. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. USA, 1997:1133～1138

[19] P. Sobrevilla, E. Montseny, J. Keller. White blood cell detection in bone marrow images[C]. Annual Conference of the North American Fuzzy Information Processing Society(NAFIPS), 1999:403～407

[20] E. Montseny, P. Sobrevilla, S. Romani. A fuzzy approach to white blood cells segmentation in color bone marrow images[C]. IEEE International Conference on Fuzzy Systems. Hungary, 2004:173～178

[21] Nipon Theera-Umpon. White blood cell segmentation and classification in microscopic bone marrow images[C]. Fuzzy Systems and Knowledge Discovery: Second International Conference (FSKD). China, 2005:787～796

[22] . M. Aus, H. Harms, M. Haucke et al.. Leukemia-related morphological features in blast cells[J]. Cytometry, 1986, 7(4): 365-370.

[23] . 小儿急性白血病骨髓有核细胞的形态定量分析[J]. 苏州医学院学报, 1994, 14(2): 105-109.

[24] . 急性白血病多种形态学参数的分析研究[J]. 内蒙古医学杂志, 1998, 30(2): 67-69.

[25] . 白血病原始细胞形态学定量参数的测定[J]. 华中医学杂志, 1999, 23(5): 207-209.

[26] . M. U. Sabino, L. da Fontoura Costa, E. G. Rizzatti et al.. A texture approach to leukocyte recognition[J]. Real-Time Imaging, 2004, 10(4): 205-216.

[27] Tomasz Markiewicz, Stanislaw Osowski, Leszek Moszczyński et al.. Myelogenous leukemia cell image preprocessing for feature generation[C]. V International Workshop Computational Problems of Electrical Engineering. Ukraina, 2003:1～4

[28] S.Osowski, T. Markiewicz, B. Marianska et al.. Feature generation for the cell image recognition of myelogenous leukaemia[C]. 12th European Signal Processing Conference(EUSIPCO). Vienna, Austria, 2004:753～756

[29] T. Markiewicz, L. Moszczyński. Analysis of features for blood cell recognition[C]. VI International Workshop Computational Problems of Electrical Engineering. Poland, 2004:42～45

[30] T. Markiewicz, S. Osowski, B. Marianska et al.. Automatic recognition of the blood cells of myelogenous leukemia using SVM[C]. Proceedings of International Joint Conference on Neural Networks. Canada, 2005:2496～2501

[31] S. Serbouti, A. Duhamel, H. Gunzer et al.. Image segmentation and classification methods to detect leukemias[C]. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. USA, 1991, 13(1):0260～0261

[32] A. Farag. Computer based acute leukemia classification[C]. Symposium on Circuits and Systems (MWSCAS). Egypt, 2003:701～703

[33] D.M. Ushizima, A.C. Lorena, A. C. P. L. F. de Carvalho. Support vector machines applied to white blood cell recognition[C]. Fifth International Conference on Hybrid Intelligent Systems. Brazil, 2005:379～384