Robust fuzzy RBF network based image segmentation and intelligent decision making system for carotid artery ultrasound images
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Asifullah Khan | Mehdi Hassan | Asmatullah Chaudhry | Jan Alam | Asifullah Khan | Mehdi Hassan | A. Chaudhry | Jan Alam
[1] Andries P. Engelbrecht,et al. Computational Intelligence: An Introduction , 2002 .
[2] Daoqiang Zhang,et al. Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation , 2007, Pattern Recognit..
[3] Jin Young Kim,et al. Automatic Active Contour-Based Segmentation and Classification of Carotid Artery Ultrasound Images , 2013, Journal of Digital Imaging.
[4] Jin Young Kim,et al. Carotid artery image segmentation using modified spatial fuzzy c-means and ensemble clustering , 2012, Comput. Methods Programs Biomed..
[5] Korris Fu-Lai Chung,et al. Robust fuzzy clustering-based image segmentation , 2009, Appl. Soft Comput..
[6] N. Santhiyakumari,et al. Medical Decision-Making System of Ultrasound Carotid Artery Intima–Media Thickness Using Neural Networks , 2011, Journal of Digital Imaging.
[7] Mahantapas Kundu,et al. Segmentation of MR Images of the Human Brain Using Fuzzy Adaptive Radial Basis Function Neural Network , 2005, PReMI.
[8] N. Santhiyakumari,et al. Detection of the intima and media layer thickness of ultrasound common carotid artery image using efficient active contour segmentation technique , 2011, Medical & Biological Engineering & Computing.
[9] Konstantina S. Nikita,et al. Comparison of Multiresolution Features for Texture Classification of Carotid Atherosclerosis From B-Mode Ultrasound , 2011, IEEE Transactions on Information Technology in Biomedicine.
[10] Marios S. Pattichis,et al. Classification of atherosclerotic carotid plaques using morphological analysis on ultrasound images , 2009, Applied Intelligence.
[11] Ilias Maglogiannis,et al. An intelligent system for automated breast cancer diagnosis and prognosis using SVM based classifiers , 2009, Applied Intelligence.
[12] Jin Young Kim,et al. Automatic Segmentation and Decision Making of Carotid Artery Ultrasound Images , 2012, IAS.
[13] Asifullah Khan,et al. Robust information gain based fuzzy c-means clustering and classification of carotid artery ultrasound images , 2014, Comput. Methods Programs Biomed..
[14] C.S. Pattichis,et al. An Integrated System for the Segmentation of Atherosclerotic Carotid Plaque , 2007, IEEE Transactions on Information Technology in Biomedicine.
[15] Marios S. Pattichis,et al. Prediction of High-Risk Asymptomatic Carotid Plaques Based on Ultrasonic Image Features , 2012, IEEE Transactions on Information Technology in Biomedicine.
[16] V. Khoo,et al. The utility of multimodality imaging with CT and MRI in defining rectal tumour volumes for radiotherapy treatment planning: a pilot study , 2010, Journal of medical imaging and radiation oncology.
[17] S. Shirani,et al. Segmentation of DNA microarray images using an adaptive graph-based method , 2010 .
[18] Jin Young Kim,et al. Image clustering using improved spatial fuzzy C-means , 2012, ICUIMC.
[19] Sushmita Mitra,et al. FRBF: A Fuzzy Radial Basis Function Network , 2001, Neural Computing & Applications.
[20] Stephen M Smith,et al. Correspondence of the brain's functional architecture during activation and rest , 2009, Proceedings of the National Academy of Sciences.
[21] Colin Studholme,et al. A non-local fuzzy segmentation method: Application to brain MRI , 2009, Pattern Recognit..
[22] Hao Yu,et al. Advantages of Radial Basis Function Networks for Dynamic System Design , 2011, IEEE Transactions on Industrial Electronics.
[23] Kemal Polat,et al. Medical diagnosis of atherosclerosis from Carotid Artery Doppler Signals using principal component analysis (PCA), k-NN based weighting pre-processing and Artificial Immune Recognition System (AIRS) , 2008, J. Biomed. Informatics.
[24] Dzung L. Pham,et al. Spatial Models for Fuzzy Clustering , 2001, Comput. Vis. Image Underst..
[25] Patricia Desmond,et al. Hippocampal and amygdala volumes according to psychosis stage and diagnosis: a magnetic resonance imaging study of chronic schizophrenia, first-episode psychosis, and ultra-high-risk individuals. , 2006, Archives of general psychiatry.
[26] Saratha Sathasivam,et al. Comparing Neural Networks: Hopfield Network and RBF Network , 2011 .
[27] Wanqing Li,et al. Semi-supervised maximum a posteriori probability segmentation of brain tissues from dual-echo magnetic resonance scans using incomplete training data , 2011 .
[28] Elena Casiraghi,et al. A segmentation framework for abdominal organs from CT scans , 2010, Artif. Intell. Medicine.
[29] Sankar K. Pal,et al. Multilayer perceptron, fuzzy sets, and classification , 1992, IEEE Trans. Neural Networks.
[30] R. S. D. Wahida Banu,et al. Carotid Artery Boundary Extraction Using Segmentation Techniques: A Comparative Study , 2009, 2009 Sixth International Conference on Information Technology: New Generations.
[31] Emmanouil G. Sifakis,et al. Using the Hough transform to segment ultrasound images of longitudinal and transverse sections of the carotid artery. , 2007, Ultrasound in medicine & biology.
[32] Stelios Krinidis,et al. A Robust Fuzzy Local Information C-Means Clustering Algorithm , 2010, IEEE Transactions on Image Processing.