Computer-aided system for Leukocyte nucleus segmentation and Leukocyte classification based on nucleus characteristics
作者： S. Sapna , A. Renuka
DOI: 10.1080/1206212X.2020.1726013
关键词:
摘要: Differential count of leukocytes plays a consequential role in the determination diagnostic details patient. Conventionally, leukocyte identification is performed manually by skilled medica...
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Ewert Bengtsson, Tang Chunming, Automatic Tracking of Neural Stem Cells pp. 61- 66 ,(2005)
Seyed Hamid Rezatofighi, Hamid Soltanian-Zadeh, Automatic recognition of five types of white blood cells in peripheral blood Computerized Medical Imaging and Graphics. ,vol. 35, pp. 333- 343 ,(2011) , 10.1016/J.COMPMEDIMAG.2011.01.003
James C. Bezdek, Robert Ehrlich, William Full, FCM: The fuzzy c-means clustering algorithm Computers & Geosciences. ,vol. 10, pp. 191- 203 ,(1984) , 10.1016/0098-3004(84)90020-7
Der-Chen Huang, Kun-Ding Hung, Yung-Kuan Chan, A computer assisted method for leukocyte nucleus segmentation and recognition in blood smear images Journal of Systems and Software. ,vol. 85, pp. 2104- 2118 ,(2012) , 10.1016/J.JSS.2012.04.012
Yung-Kuan Chan, Meng-Hsiun Tsai, Der-Chen Huang, Zong-Han Zheng, Kun-Ding Hung, Leukocyte nucleus segmentation and nucleus lobe counting BMC Bioinformatics. ,vol. 11, pp. 558- 558 ,(2010) , 10.1186/1471-2105-11-558
Robert M. Haralick, K. Shanmugam, Its'Hak Dinstein, Textural Features for Image Classification IEEE Transactions on Systems, Man, and Cybernetics. ,vol. SMC-3, pp. 610- 621 ,(1973) , 10.1109/TSMC.1973.4309314
Omid Sarrafzadeh, Hossein Rabbani, Ardeshir Talebi, Hossein Usefi Banaem, Selection of the best features for leukocytes classification in blood smear microscopic images Proceedings of SPIE. ,vol. 9041, ,(2014) , 10.1117/12.2043605
Pingkun Yan, Xiaobo Zhou, M. Shah, S.T.C. Wong, Automatic Segmentation of High-Throughput RNAi Fluorescent Cellular Images international conference of the ieee engineering in medicine and biology society. ,vol. 12, pp. 109- 117 ,(2008) , 10.1109/TITB.2007.898006
V.N. Vapnik, An overview of statistical learning theory IEEE Transactions on Neural Networks. ,vol. 10, pp. 988- 999 ,(1999) , 10.1109/72.788640
M.T. Hagan, M.B. Menhaj, Training feedforward networks with the Marquardt algorithm IEEE Transactions on Neural Networks. ,vol. 5, pp. 989- 993 ,(1994) , 10.1109/72.329697