Classifier ensemble for an effective cytological image analysis
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[1] W. F. Clocksin,et al. Automatic segmentation of overlapping nuclei with high background variation using robust estimation and flexible contour models , 2003, 12th International Conference on Image Analysis and Processing, 2003.Proceedings..
[2] Soo-Hong Kim,et al. Analysis of breast cancer using data mining & statistical techniques , 2005, Sixth International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing and First ACIS International Workshop on Self-Assembling Wireless Network.
[3] F. Cloppet,et al. Segmentation of overlapping/aggregating nuclei cells in biological images , 2008, 2008 19th International Conference on Pattern Recognition.
[4] Ethem Alpaydin,et al. Introduction to machine learning , 2004, Adaptive computation and machine learning.
[5] Kwang-Ryol Ryu,et al. Wavelet based Feature Extraction of Human face , 2001 .
[6] Ryszard S. Choraś. Image Processing and Communications Challenges 3 - 3rd International Conference, IP&C 2011, Proceedings , 2011, IP&C.
[7] Rafael C. González,et al. Local Determination of a Moving Contrast Edge , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Bartosz Krawczyk,et al. Combined classifier based on feature space partitioning , 2012, Int. J. Appl. Math. Comput. Sci..
[9] Michal Wozniak,et al. Combining classifiers under probabilistic models: experimental comparative analysis of methods , 2012, Expert Syst. J. Knowl. Eng..
[10] D.M. Mount,et al. An Efficient k-Means Clustering Algorithm: Analysis and Implementation , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[11] Yousef Al-Kofahi,et al. Improved Automatic Detection and Segmentation of Cell Nuclei in Histopathology Images , 2010, IEEE Transactions on Biomedical Engineering.
[12] R. A. Osborn,et al. Introduction to Biopsy Interpretation and Surgical Pathology , 1988 .
[13] Michał Woźniak,et al. Combining classifiers using trained fuser - analytical and experimental results / , 2010 .
[14] Bogdan Gabrys,et al. Classifier selection for majority voting , 2005, Inf. Fusion.
[15] Christophoros Nikou,et al. Combining shape, texture and intensity features for cell nuclei extraction in Pap smear images , 2011, Pattern Recognit. Lett..
[16] S Issac Niwas,et al. Wavelet based feature extraction method for breast cancer cytology images , 2010, 2010 IEEE Symposium on Industrial Electronics and Applications (ISIEA).
[17] Marek Kowal,et al. Fuzzy Clustering and Adaptive Thresholding Based Segmentation Method for Breast Cancer Diagnosis , 2011, Computer Recognition Systems 4.
[18] James C. Bezdek,et al. Pattern Recognition with Fuzzy Objective Function Algorithms , 1981, Advanced Applications in Pattern Recognition.
[19] Mira Park,et al. Clustering nuclei using machine learning techniques , 2010, IEEE/ICME International Conference on Complex Medical Engineering.
[20] Bartosz Krawczyk,et al. Cost-Sensitive Splitting and Selection Method for Medical Decision Support System , 2012, IDEAL.
[21] Elif Derya Übeyli,et al. Computer recognition systems , 2009, Expert Syst. J. Knowl. Eng..
[22] D. Wolpert. The Supervised Learning No-Free-Lunch Theorems , 2002 .
[23] Marek Kowal,et al. Automatic Breast Cancer Diagnosis Based on K-Means Clustering and Adaptive Thresholding Hybrid Segmentation , 2011, IP&C.
[24] Tadeusz M. Szuba,et al. Computational Collective Intelligence , 2001, Lecture Notes in Computer Science.
[25] Louis Vuurpijl,et al. An overview and comparison of voting methods for pattern recognition , 2002, Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition.
[26] C. Mathers,et al. Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008 , 2010, International journal of cancer.
[27] Ryszard Tadeusiewicz,et al. Texture analysis in perfusion images of prostate cancer—A case study , 2010, Int. J. Appl. Math. Comput. Sci..
[28] Marek Kowal,et al. COMPUTER-AIDED DIAGNOSIS OF BREAST CANCER USING GAUSSIAN MIXTURE CYTOLOGICAL IMAGE SEGMENTATION , 2011 .
[29] Emilio Corchado,et al. Intelligent Data Engineering and Automated Learning - IDEAL 2006, 7th International Conference, Burgos, Spain, September 20-23, 2006, Proceedings , 2006, IDEAL.
[30] Marek Kowal,et al. Hybrid cytological image segmentation method based on competitive neural network and adaptive thresholding , 2011 .
[31] Rached Tourki,et al. Automated Breast Cancer Diagnosis Based on GVF-Snake Segmentation, Wavelet Features Extraction and Fuzzy Classification , 2009, J. Signal Process. Syst..
[32] A. Madabhushi,et al. Histopathological Image Analysis: A Review , 2009, IEEE Reviews in Biomedical Engineering.
[33] Michal Wozniak,et al. Some Remarks on Chosen Methods of Classifier Fusion Based on Weighted Voting , 2009, HAIS.
[34] C Caldas,et al. One-stop diagnostic breast clinics: how often are breast cancers missed? , 2009, British Journal of Cancer.
[35] Robert A. Jacobs,et al. Methods For Combining Experts' Probability Assessments , 1995, Neural Computation.
[36] Aboul Ella Hassanien,et al. Computational Intelligence in Biomedicine and Bioinformatics, Current Trends and Applications , 2008, Computational Intelligence in Biomedicine and Bioinformatics.
[37] J. Ferlay,et al. Global estimates of cancer prevalence for 27 sites in the adult population in 2008 , 2013, International journal of cancer.
[38] David J. C. MacKay,et al. Information Theory, Inference, and Learning Algorithms , 2004, IEEE Transactions on Information Theory.
[39] Anil K. Jain,et al. Statistical Pattern Recognition: A Review , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[40] Kevin W. Bowyer,et al. Combination of Multiple Classifiers Using Local Accuracy Estimates , 1997, IEEE Trans. Pattern Anal. Mach. Intell..
[41] Andrzej Obuchowicz,et al. Segmentation of Breast Cancer Fine Needle Biopsy Cytological Images , 2008, Int. J. Appl. Math. Comput. Sci..
[42] Sameer Singh,et al. Advanced Algorithmic Approaches to Medical Image Segmentation , 2002, Advances in Computer Vision and Pattern Recognition.
[43] Subhash C. Bagui,et al. Combining Pattern Classifiers: Methods and Algorithms , 2005, Technometrics.
[44] Anil K. Jain,et al. Prostate cancer grading: Gland segmentation and structural features , 2012, Pattern Recognit. Lett..
[45] Robert P. W. Duin,et al. The combining classifier: to train or not to train? , 2002, Object recognition supported by user interaction for service robots.
[46] Kevin W. Bowyer,et al. Combination of multiple classifiers using local accuracy estimates , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[47] H. Irshad,et al. Image segmentation using fuzzy clustering: A survey , 2010, 2010 6th International Conference on Emerging Technologies (ICET).
[48] Bartosz Krawczyk,et al. Adaptive Splitting and Selection Algorithm for Classification of Breast Cytology Images , 2012, ICCCI.
[49] G.B. Coleman,et al. Image segmentation by clustering , 1979, Proceedings of the IEEE.
[50] Daniel Hernández-Lobato,et al. An Analysis of Ensemble Pruning Techniques Based on Ordered Aggregation , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[51] Gerald Schaefer,et al. Breast thermogram analysis using a cost-sensitive multiple classifier system , 2012, Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics.
[52] Fabio Roli,et al. Bayesian Analysis of Linear Combiners , 2007, MCS.
[53] Adam Krzyzak,et al. Classification of Breast Cancer Malignancy Using Cytological Images of Fine Needle Aspiration Biopsies , 2008, Int. J. Appl. Math. Comput. Sci..
[54] Ming Xie,et al. Color clustering and learning for image segmentation based on neural networks , 2005, IEEE Trans. Neural Networks.
[55] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[56] Ludmila I. Kuncheva,et al. Combining Pattern Classifiers: Methods and Algorithms , 2004 .
[57] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[58] S. P. Lloyd,et al. Least squares quantization in PCM , 1982, IEEE Trans. Inf. Theory.
[59] Gavin Brown,et al. "Good" and "Bad" Diversity in Majority Vote Ensembles , 2010, MCS.
[60] Marek Kowal,et al. COMPUTER-AIDED DIAGNOSIS OF BREAST CANCER USING GAUSSIAN MIXTURE CYTOLOGICAL IMAGE SEGMENTATION 2 , 2011 .
[61] Kotagiri Ramamohanarao,et al. Breast-Cancer identification using HMM-fuzzy approach , 2010, Comput. Biol. Medicine.
[62] Andrzej Obuchowicz,et al. Computational Intelligence Techniques in Image Segmentation for Cytopathology , 2008, Computational Intelligence in Biomedicine and Bioinformatics.
[63] Habibollah Haron,et al. Image segmentation using fuzzy C-Means clustering , 2008 .
[64] Tin Kam Ho,et al. The Random Subspace Method for Constructing Decision Forests , 1998, IEEE Trans. Pattern Anal. Mach. Intell..