Exponential cuckoo search algorithm to Radial Basis Neural Network for automatic classification in MRI images

References

• Abdullah N , Ngah UK , Aziz SA . 2011. Image classification of brain MRI using support vector machine. In Proceedings of International Conference on Imaging Systems and Techniques, Penang, Malaysia; p. 242–247.
   Google Scholar
• Al-Badarneh A , Najadat H , Alraziqi AM . 2012. A classifier to detect tumor disease in MRI brain images. In Proceedings of International Conference on Advances in Social Network Analysis and Mining, Istanbul, Turkey; p. 784–787.
   Google Scholar
• Al-Kadi OS . 2009. A fractal dimension based optimal wavelet packet analysis technique for classification of meningioma brain tumours. In Proceedings of the 16th IEEE International Conference on Image Processing (ICIP), Cairo, Egypt; p. 4177–4180.
   Google Scholar
• Alvarez I , Gorriz JM , Ramirez J , Salas-Gonzalez D , Lopez MM , Segovia F , Chaves R , Gomez-Río M , Garcia Puntonet C . 2011. 18F-FDG PET imaging analysis for computer aided Alzheimer’s diagnosis. Inf Sci. 181(4):903–916.
   Web of Science ®Google Scholar
• Alvarez I , Gorriz JM , Lopez MM , Perez J , Salas-Gonzalez D , Segovia F , Chaves RM , Puntonet C . 2011. Computer aided diagnosis of Alzheimer’s disease using component-based SVM. Appl Soft Comput. 11:2376–2382.
   Web of Science ®Google Scholar
• Anitha V , Murugavalli S . 2016. Brain tumour classification using two-tier classifier with adaptive segmentation technique. IET Comput Vision. 10(1):9–17.10.1049/iet-cvi.2014.0193
   Web of Science ®Google Scholar
• Arunadevi B , Deepa SN . 2013. Texture analysis for 3D classification of brain tumor tissues. 89:338–342.
   Google Scholar
• Chandra Paul L , Al Sumam A . 2012 Nov. Face recognition using principal component analysis method. Int J Adv Res Comput Eng Technol. 1(9):135–139.
   Google Scholar
• Chaplot S , Patnaik L , Jagannathan N . 2006. Classification of magnetic resonance brain images using wavelets as input to support vector machine and neural network. Biomed Signal Process Control. 1:86–92.10.1016/j.bspc.2006.05.002
   Web of Science ®Google Scholar
• Cisar P , Cisar SM . 2011. Optimization methods of EWMA statistics. Subotica Tech. 8(5):73–87.
   Google Scholar
• Dasarathy BV . Nearest Neighbor (NN) norms: NN pattern classification techniques. Los Alamitos, CA: IEEE Computer Society Press; 1991.
   Google Scholar
• Döhler F , Mormann F , Weber B , Elger CE , Lehnertz K . 2008. A cellular neural network based method for classification of magnetic resonance images: towards an automated detection of hippocampal sclerosis. J Neurosci Meth. 170:324–331.10.1016/j.jneumeth.2008.01.002
   PubMed Web of Science ®Google Scholar
• El-Dahshan E-SA , Hosny T , Salem A-BM . 2010. Hybrid intelligent techniques for MRI brain images classification. Digital Signal Process. 20:433–441.10.1016/j.dsp.2009.07.002
   Web of Science ®Google Scholar
• Fletcher-Heath LM , Hall LO , Goldgof DB , Murtagh FR . 2001. Automatic segmentation of non-enhancing brain tumors in magnetic resonance images. Artif Intell Med. 21:43–63.10.1016/S0933-3657(00)00073-7
   PubMed Web of Science ®Google Scholar
• Górriz JM , Segovia F , Ramírez J , Lassl A , Salas-Gonzalez D . 2011. GMM based SPECT image classification for the diagnosis of Alzheimer’s disease. Appl Soft Comput. 11:2313–2325.10.1016/j.asoc.2010.08.012
   Web of Science ®Google Scholar
• Hackmack K , Paul F , Weygandt M , Allefeld C , Haynes J-D . 2012. Multi-scale classification of disease using structural MRI and wavelet transform. NeuroImage. 62:48–58.10.1016/j.neuroimage.2012.05.022
   PubMed Web of Science ®Google Scholar
• Huang M , Yang W , Wu Y , Jiang J , Chen W , Feng Q . 2014 Oct. Brain tumor segmentation based on local independent projection-based classification. IEEE Trans Biomed Eng. 61(10):2633–2645.
   PubMed Web of Science ®Google Scholar
• Juang L-H , Wu M-N . 2010. MRI brain lesion image detection based on color-converted K-means clustering segmentation. Measurement. 43:941–949.10.1016/j.measurement.2010.03.013
   Web of Science ®Google Scholar
• Jui S-L , Zhang S , Xiong W , Yu F , Fu M , Wang D , Hassanien AE , Xiao K . 2016. Brain MRI tumor segmentation with 3D intracranial structure deformation features. IEEE Intell Syst. 31(2):66–76.10.1109/MIS.2015.93
   Web of Science ®Google Scholar
• Kalbkhani H , Shayesteh MG , Zali-Vargahan B . 2013. Robust algorithm for brain magnetic resonance image (MRI) classification based on GARCH variances series. Biomed Signal Process Control. 8:909–919.10.1016/j.bspc.2013.09.001
   Web of Science ®Google Scholar
• Kamber M , Shinghal R , Collins D , Francis G , Evans A . 1995. Model-based 3-D segmentation of multiple sclerosis lesions in magnetic resonance brain images. IEEE Trans Med Imaging. 14(3):442–453.10.1109/42.414608
   PubMed Web of Science ®Google Scholar
• Lachenbruch PA . 1975. Discriminant analysis. New York (NY): Hafner Press.
   Google Scholar
• Lemieux L , Krakow K , Woermann FG . 1999. Fast, accurate, and reproducible automatic segmentation of the brain in T1-weighted volume MRI data. Magn Reson Med. 42:127–135.10.1002/(ISSN)1522-2594
   PubMed Web of Science ®Google Scholar
• Maitra M , Chatterjee A . 2008. Hybrid multiresolution Slantlet transform and fuzzy c-means clustering approach for normal-pathological brain MR image segregation. Med Eng Phys. 30:615–623.10.1016/j.medengphy.2007.06.009
   PubMed Web of Science ®Google Scholar
• Menze BH , Jakab A , Bauer S , Kalpathy-Cramer J , Farahani K , Kirby J , Burren Y , Porz N , Slotboom J , Wiest R , et al . 2014. The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans Med Imaging. 34 (10):1993–2024.
   PubMed Web of Science ®Google Scholar
• Mohamad AB , Zain AM , Bazin NEN . 2014. Cuckoo search algorithm for optimization problems – a literature review and its applications. Appl Int J. 28:410–448.
   Google Scholar
• Muaidi H . 2014. Levenberg-Marquardt learning neural network for part-of-speech tagging of arabic sentences. WSEAS Trans Comput. 13:2224–2872.
   Google Scholar
• Nabizadeh N , Kubat M . 2015. Brain tumors detection and segmentation in MR images: Gabor wavelet vs. statistical features. Comput Electr Eng. 45:286–301.10.1016/j.compeleceng.2015.02.007
   Web of Science ®Google Scholar
• Nanda SK , Tripathy DP , Ray NK . 2012. Fuzzy-C-mean based radial basis function network application in machinery noise prediction. Procedia Eng. 38: 3596–3602.
   Google Scholar
• Nikam PB , Shinde VD . 2013 Jun. MRI brain image classification and detection using distance classifier method in image processing. Int J Eng Res Technol. 2(6):1980–1985.
   Google Scholar
• Ortiz A , Gorriz JM , Ramirez J , Salas-Gonzalez D . 2014. Improving MR brain image segmentation using self-organising maps and entropy-gradient clustering. Inf Sci. 262:117–136.10.1016/j.ins.2013.10.002
   Web of Science ®Google Scholar
• Portela NM , Cavalcanti GDC , Ren TI . 2014. Semi-supervised clustering for MR brain image segmentation. Expert Syst Appl. 41:1492–1497.10.1016/j.eswa.2013.08.046
   Web of Science ®Google Scholar
• Rakotomamonjy A . 2003. Variable selection using SVM-based criteria. J Mach Learn Res. 3:1357–1370.
   Google Scholar
• Ramathilagam S , Pandiyarajan R , Sathya A , Devi R , Kannan SR . 2011. Modifiedfuzzy-means algorithm for segmentation of T1-T2-weighted brain MRI. J Comput Appl Math. 235:1578–1586.10.1016/j.cam.2010.08.033
   Web of Science ®Google Scholar
• Shen S , Sandham W , Granat M , Sterr A . 2005. MRI fuzzy segmentation of brain tissue using neighborhood attraction with neural-network optimization. IEEE Trans Inf Technol Biomed. 9(3):459–467.
   PubMedGoogle Scholar
• Sindhumol S , Kumar A , Balakrishnan K . 2013. Spectral clustering independent component analysis for tissue classification from brain MRI. Biomed Signal Process Control. 8:667–674.
   Web of Science ®Google Scholar
• Vishnuvarthanan G , Rajasekaran MP , Subbaraj P , Vishnuvarthanan A . 2016. An unsupervised learning method with a clustering approach for tumor identification and tissue segmentation in magnetic resonance brain images. Appl Soft Comput. 38:190–212.10.1016/j.asoc.2015.09.016
   Web of Science ®Google Scholar
• Yambal M , Gupta H . 2013 Jul. Image segmentation using fuzzy c means clustering: a survey. Int J Adv Res Comput Commun Eng. 2(7):2927–2929.
   Google Scholar
• Zhang Y , Dong Z , Wu L , Wang S . 2011. A hybrid method for MRI brain image classification. Expert Syst Appl. 38:10049–10053.10.1016/j.eswa.2011.02.012
   Web of Science ®Google Scholar