Journal of Guangxi Normal University(Natural Science Edition) ›› 2016, Vol. 34 ›› Issue (2): 61-66.doi: 10.16088/j.issn.1001-6600.2016.02.009
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LIU Yanhong, LUO Xiaoshu, CHEN Jin, GUO Lei
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[1] FERLAY J,SOERJOMATARAM I, DIKSHIT R, et al. Cancer in cidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012 [J/OL]. International Journal of Cancer, 2015, 136(5): E359-E386. http://onlinelibary.wiley.com/doi/10.1002/ijc.29210/abstract. [2] JENSEN B. Neuro-Fuzzy Classification of Cells in Cervical Smears[D]. Denmark: Technical University of Denmark, 1999. [3] NIKOLAOS A, GEORGE D, JAN J. Pap-Smear classification using efficient second order neural network training algorithms[M]//GEORGE A V, THEMISTOKLIS P. Methods and Applications of Aritificial Intelligence: Berlin Heidelberg: Springer Verlag 2004:230-245. [4] YANNIS M, GEORGIOS D, JAN J. Pap smear diagnosis using a hybrid intelligent scheme focusing on genetic algorithm based feature selection and nearest neighbor classification[J]. Computers in Biology and Medicine,2009, 39(1):69-78. [5] CHEN Yungfu, HUANG Pochi, Lin Kercheng, et al. Semi-Automatic segmentation and classification of pap smear cells[J]. IEE Journal of Biomedical and health informatics, 2014, 18(1):94-108. [6] 张晓龙,任芳. 支持向量机与AdaBoost的结合算法研究[J]. 计算机应用研究,2009(1):77-78. [7] WANG Ruihu. AdaBoost for feature selection, classification and its relation with SVM, A Review[J]. Physics Procedia,2012,25:800-807. [8] YANG Jian, ZHANG D, FRANGI A F, et al.Two dimensional PCA: a new approach to appearance-based face Representation and recognition[J]. IEEE Trans Pattern Anal Mach Intell, 2004, 26(1):131-137. [9] ABID S, VINOD S, RAJEEV G, Hybrid ensemble learning technique for screening of cervical cancer using Papanicolaou smear image analysis[J]. Personalized Medicine Universe, 2015, 4:54-62. [10] NORUP J. Classification of pap-smear data by transductive neuro-fuzzy methods[D]. Denmark: Technical University of Denmark, 2005. [11] CHANKONG T, THEERA-UMPON N, AUEPHANWIRIYAKUL S. Automatic cervical cell segmentation and classification in Pap smears[J]. Computer Methods and Programs in Biomedicine,2014, 113(2):539-556. |
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