Lung tumor area recognition in CT images based on Gustafson-Kessel clustering
暂无分享,去创建一个
[1] R. Dhanasekaran,et al. Fuzzy Clustering and Deformable Model for Tumor Segmentation on MRI Brain Image: A Combined Approach , 2012 .
[2] Mohammad Hossein Fazel Zarandi,et al. Fuzzy rule based expert system for diagnosis of lung cancer , 2015, 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC).
[3] J. Bezdek,et al. FCM: The fuzzy c-means clustering algorithm , 1984 .
[4] Chia-Chen Lin,et al. Brain Tumor Detection Using Color-Based K-Means Clustering Segmentation , 2007 .
[5] Anil K. Jain. Data clustering: 50 years beyond K-means , 2008, Pattern Recognit. Lett..
[6] S. Islam,et al. Implementation of Image Segmentation for Natural Images using Clustering Methods , 2013 .
[7] Ahmet Sertbas,et al. Computer‐aided classification of breast masses in mammogram images based on spherical wavelet transform and support vector machines , 2015, Expert Syst. J. Knowl. Eng..
[8] Mohammad Hossein Fazel Zarandi,et al. Lung nodule diagnosis from CT images based on ensemble learning , 2015, 2015 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).
[9] Jeenal I. Patel. MRI BRAIN IMAGE SEGMENTATION USING MODIFIED FUZZY C-MEANS CLUSTERING ALGORITHM , 2015 .
[10] Milan Sonka,et al. Image Processing, Analysis and Machine Vision , 1993, Springer US.
[11] Fatma Taher,et al. Lung cancer detection by using artificial neural network and fuzzy clustering methods , 2011, 2011 IEEE GCC Conference and Exhibition (GCC).
[12] Xiaoyang Yu,et al. A fault diagnosis model through G-K fuzzy clustering , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).
[13] Uzay Kaymak,et al. Improved covariance estimation for Gustafson-Kessel clustering , 2002, 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).
[14] Vignesh Rajesh,et al. Brain Tumor Segmentation and its Area Calculation in Brain MR Images using K-Mean Clustering and Fuzzy C-Mean Algorithm , 2015 .
[15] Li-Hong Juang,et al. MRI brain lesion image detection based on color-converted K-means clustering segmentation , 2010 .
[16] Robert J. Gillies,et al. Quantitative Computed Tomographic Descriptors Associate Tumor Shape Complexity and Intratumor Heterogeneity with Prognosis in Lung Adenocarcinoma , 2015, PloS one.
[17] Chandra Kambhamettu,et al. A Coarse-to-Fine Deformable Contour Optimization Framework , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[18] Jr. G. Forney,et al. The viterbi algorithm , 1973 .
[19] Thierry Blu,et al. Efficient energies and algorithms for parametric snakes , 2004, IEEE Transactions on Image Processing.
[20] Abbas Ahmadi,et al. Intelligent breast cancer recognition using particle swarm optimization and support vector machines , 2016, J. Exp. Theor. Artif. Intell..
[21] Maoguo Gong,et al. Fuzzy C-Means Clustering With Local Information and Kernel Metric for Image Segmentation , 2013, IEEE Transactions on Image Processing.