A Weighted Voting Classifiers Ensemble for the Brain Tumors Classification in MR Images

The appropriate treatment of cancers critically depends on the precise identification of the tumor types. The Magnetic Resonance Imaging (MRI) provides a non-invasive approach for detecting the tum...

[1]  Cor J. Veenman,et al.  Comparing compact codebooks for visual categorization , 2010, Comput. Vis. Image Underst..

[2]  Andrew Zisserman,et al.  A Statistical Approach to Material Classification Using Image Patch Exemplars , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  Robert M. Haralick,et al.  Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..

[4]  Trevor Hastie,et al.  An Introduction to Statistical Learning , 2013, Springer Texts in Statistics.

[5]  Tati L. R. Mengko,et al.  Brain Tumor Classification Using Convolutional Neural Network , 2018, IFMBE Proceedings.

[6]  Francesca Odone,et al.  Histogram intersection kernel for image classification , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

[7]  Belur V. Dasarathy,et al.  Medical Image Fusion: A survey of the state of the art , 2013, Inf. Fusion.

[8]  Knut Kvaal,et al.  Classification of Dynamic Contrast Enhanced MR Images of Cervical Cancers Using Texture Analysis and Support Vector Machines , 2014, IEEE Transactions on Medical Imaging.

[9]  F. Agakov,et al.  Application of high-dimensional feature selection: evaluation for genomic prediction in man , 2015, Scientific Reports.

[10]  Miroslav Kubat,et al.  An Introduction to Machine Learning , 2015, Springer International Publishing.

[11]  A Jagan A New Approach for Segmentation and Detection of Brain Tumor in 3D Brain MR Imaging , 2018, 2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA).

[12]  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.

[13]  A Padma Nanthagopal,et al.  A region-based segmentation of tumour from brain CT images using nonlinear support vector machine classifier , 2012, Journal of medical engineering & technology.

[14]  Konstantinos N. Plataniotis,et al.  Brain Tumor Type Classification via Capsule Networks , 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

[15]  Xiaoou Tang,et al.  Texture information in run-length matrices , 1998, IEEE Trans. Image Process..

[16]  Moosa Ayati,et al.  Magnetic resonance imaging-based brain tumor grades classification and grading via convolutional neural networks and genetic algorithms , 2019, Biocybernetics and Biomedical Engineering.

[17]  Hayit Greenspan,et al.  X-ray Categorization and Retrieval on the Organ and Pathology Level, Using Patch-Based Visual Words , 2011, IEEE Transactions on Medical Imaging.

[18]  Nikolas P. Galatsanos,et al.  A support vector machine approach for detection of microcalcifications , 2002, IEEE Transactions on Medical Imaging.

[19]  José M. García,et al.  A methodology based on Deep Learning for advert value calculation in CPM, CPC and CPA networks , 2016, Soft Computing.

[20]  Yang Gao,et al.  Content-based retrieval of brain tumor in contrast-enhanced MRI images using tumor margin information and learned distance metric. , 2012, Medical physics.

[21]  Asif Ekbal,et al.  MODE: multiobjective differential evolution for feature selection and classifier ensemble , 2015, Soft Computing.

[22]  Rainer Storn,et al.  Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..

[23]  Jacob Benesty,et al.  Study of the widely linear Wiener filter for noise reduction , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

[24]  K. Gunavathi,et al.  Lung cancer classification using neural networks for CT images , 2014, Comput. Methods Programs Biomed..

[25]  Georgios Dounias,et al.  Pap smear diagnosis using a hybrid intelligent scheme focusing on genetic algorithm based feature selection and nearest neighbor classification , 2009, Comput. Biol. Medicine.

[26]  Sung Wook Baik,et al.  Multi-grade brain tumor classification using deep CNN with extensive data augmentation , 2019, J. Comput. Sci..

[27]  Qianjin Feng,et al.  Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition , 2015, PloS one.

[28]  Neeraj Sharma,et al.  Segmentation and classification of medical images using texture-primitive features: Application of BAM-type artificial neural network , 2008, Journal of medical physics.

[29]  Arshad Aziz,et al.  A new rectangular window based image cropping method for generalization of brain neoplasm classification systems , 2018, Int. J. Imaging Syst. Technol..

[30]  Ikhlas Abdel-Qader,et al.  Brain Tumor Classification via Statistical Features and Back-Propagation Neural Network , 2018, 2018 IEEE International Conference on Electro/Information Technology (EIT).