A Clinical Support System for Brain Tumor Classification Using Soft Computing Techniques
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[1] Getachew Alemu,et al. Brain tumor detection and segmentation using hybrid intelligent algorithms , 2015, AFRICON 2015.
[2] A. Jagan,et al. Analysis of MRI based brain tumor identification using segmentation technique , 2016, 2016 International Conference on Communication and Signal Processing (ICCSP).
[3] Claudio Pollo,et al. Atlas-Based Segmentation of Pathological Brains Using a Model of Tumor Growth , 2002, MICCAI.
[4] S. Sovilj-Nikić,et al. Application of Genetic Algorithm in Median Filtering , 2007 .
[5] I. Jolliffe. Principal Component Analysis , 2002 .
[6] Nathalie Japkowicz,et al. Boosting support vector machines for imbalanced data sets , 2008, Knowledge and Information Systems.
[7] Abdel-Badeeh M. Salem,et al. Hybrid intelligent techniques for MRI brain images classification , 2010, Digit. Signal Process..
[8] J. Todd. Book Review: Digital image processing (second edition). By R. C. Gonzalez and P. Wintz, Addison-Wesley, 1987. 503 pp. Price: £29.95. (ISBN 0-201-11026-1) , 1988 .
[9] Wei Wang,et al. Application of Global Optimization Methods for Feature Selection and Machine Learning , 2013 .
[10] Ross T. Whitaker,et al. Interactive, GPU-Based Level Sets for 3D Brain Tumor Segmentation , 2003 .
[11] Zhonghua Wu,et al. Mathematical Modeling of Heat and Mass Transfer in Energy Science and Engineering , 2013 .
[12] D. Haritha. Comparative study on brain tumor detection techniques , 2016, 2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES).
[13] P. Natarajan,et al. Tumor detection using threshold operation in MRI brain images , 2012, 2012 IEEE International Conference on Computational Intelligence and Computing Research.
[14] B. Suneetha,et al. A survey on image processing techniques for brain tumor detection using magnetic resonance imaging , 2017, 2017 International Conference on Innovations in Green Energy and Healthcare Technologies (IGEHT).
[15] K. Kishan Rao,et al. A review on noise reduction methods for brain MRI images , 2015, 2015 International Conference on Signal Processing and Communication Engineering Systems.
[16] Fazli Wahid,et al. A simple and intelligent approach for brain MRI classification , 2015, J. Intell. Fuzzy Syst..
[17] Manohar Annappa Koli. Review of Impulse Noise Reduction Techniques , 2012 .
[18] Lawrence O. Hall,et al. Automatic tumor segmentation using knowledge-based techniques , 1998, IEEE Transactions on Medical Imaging.
[19] Guizhi Xu,et al. A Novel Approach for Brain Tumor Detection Using MRI Images , 2016 .
[20] Boucif Beddad,et al. Brain tumor detection by using a modified FCM and Level set algorithms , 2016, 2016 4th International Conference on Control Engineering & Information Technology (CEIT).
[21] Nathalie Japkowicz,et al. Boosting Support Vector Machines for Imbalanced Data Sets , 2008, ISMIS.
[22] Baljinder Singh,et al. Detection of brain tumor using modified mean-shift based fuzzy c-mean segmentation from MRI Images , 2017, 2017 8th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON).
[23] M. Naka,et al. A hierarchical fuzzy clustering algorithm using pyramid linking data and land-cover classification experiments , 1996, IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium.
[24] G. M. N. R. Gajanayake,et al. Comparison of standard image segmentation methods for segmentation of brain tumors from 2D MR images , 2009, 2009 International Conference on Industrial and Information Systems (ICIIS).
[25] Anupurba Nandi. Detection of human brain tumour using MRI image segmentation and morphological operators , 2015, 2015 IEEE International Conference on Computer Graphics, Vision and Information Security (CGVIS).
[26] Ian T. Jolliffe,et al. Principal Component Analysis , 2002, International Encyclopedia of Statistical Science.
[27] M. Madheswaran,et al. Classification of brain MRI images using support vector machine withvarious Kernels. , 2015 .
[28] Shaikh Anowarul Fattah,et al. Automatic brain tumor detection and segmentation from multi-modal MRI images based on region growing and level set evolution , 2015, 2015 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE).
[29] M.G. Sumithra,et al. Performance analysis of various segmentation techniques for detection of brain abnormality , 2016, 2016 IEEE Region 10 Conference (TENCON).
[30] Sébastien Ourselin,et al. Automatic Brain Tumor Segmentation Using Cascaded Anisotropic Convolutional Neural Networks , 2017, BrainLes@MICCAI.
[31] Garima Singh,et al. Efficient detection of brain tumor from MRIs using K-means segmentation and normalized histogram , 2016, 2016 1st India International Conference on Information Processing (IICIP).
[32] M.C. Clark,et al. MRI segmentation using fuzzy clustering techniques , 1994, IEEE Engineering in Medicine and Biology Magazine.
[33] Ross T. Whitaker,et al. Interactive, GPU-Based Level Sets for 3D Segmentation , 2003, MICCAI.
[34] M. Usman Akram,et al. Computer aided system for brain tumor detection and segmentation , 2011, International Conference on Computer Networks and Information Technology.
[35] Nalin Kumar,et al. Noise Removal and Filtering Techniques used in Medical Images , 2017 .
[36] M. S. Godwin Premi,et al. Kernel weighted FCM based MR image segmentation for brain tumor detection , 2015, 2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015].
[37] Russell Greiner,et al. Quick detection of brain tumors and edemas: A bounding box method using symmetry , 2012, Comput. Medical Imaging Graph..
[38] R. Kikinis,et al. Automated segmentation of MR images of brain tumors. , 2001, Radiology.