Cargando…

Hybrid RGSA and Support Vector Machine Framework for Three-Dimensional Magnetic Resonance Brain Tumor Classification

A novel hybrid approach for the identification of brain regions using magnetic resonance images accountable for brain tumor is presented in this paper. Classification of medical images is substantial in both clinical and research areas. Magnetic resonance imaging (MRI) modality outperforms towards d...

Descripción completa

Detalles Bibliográficos
Autores principales:	Rajesh Sharma, R., Marikkannu, P.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi Publishing Corporation 2015
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4609875/ https://www.ncbi.nlm.nih.gov/pubmed/26509188 http://dx.doi.org/10.1155/2015/184350

Ejemplares similares

RgsA Attenuates the PKA Signaling, Stress Response, and Virulence in the Human Opportunistic Pathogen Aspergillus fumigatus
por: Lwin, Hnin Phyu, et al.
Publicado: (2019)

Combining Low-dimensional Wavelet Features and Support Vector Machine for Arrhythmia Beat Classification
por: Qin, Qin, et al.
Publicado: (2017)

Analysis of the small RNA P16/RgsA in the plant pathogen Pseudomonas syringae pv. tomato strain DC3000
por: Park, So Hae, et al.
Publicado: (2013)

Magnetic Flux Distribution of Linear Machines with Novel Three-Dimensional Hybrid Magnet Arrays
por: Yao, Nan, et al.
Publicado: (2017)

Support Vector Machine Implementations for Classification & Clustering
por: Winters-Hilt, Stephen, et al.
Publicado: (2006)

Hybrid Method Based on Information Gain and Support Vector Machine for Gene Selection in Cancer Classification
por: Gao, Lingyun, et al.
Publicado: (2017)

Support Vector Machine Classification of Streptavidin-Binding Aptamers
por: Yu, Xinliang, et al.
Publicado: (2014)

Support Vector Machine Classification of Drunk Driving Behaviour
por: Chen, Huiqin, et al.
Publicado: (2017)

Krein support vector machine classification of antimicrobial peptides
por: Redshaw, Joseph, et al.
Publicado: (2023)

Support vector machine-based classification of schizophrenia patients and healthy controls using structural magnetic resonance imaging from two independent sites
por: Yamamoto, Maeri, et al.
Publicado: (2020)

Exploiting Linear Support Vector Machine for Correlation-Based High Dimensional Data Classification in Wireless Sensor Networks
por: Muriira, Lawrence Mwenda, et al.
Publicado: (2018)

A Novel Hybrid Runge Kutta Optimizer with Support Vector Machine on Gene Expression Data for Cancer Classification
por: Houssein, Essam H., et al.
Publicado: (2023)

Support Vector Machines for Classification Problems in High Energy Physics
por: Feindt, M, et al.
Publicado: (1999)

Network-based support vector machine for classification of microarray samples
por: Zhu, Yanni, et al.
Publicado: (2009)

Support vector machines and evolutionary algorithms for classification: single or together?
por: Stoean, Catalin, et al.
Publicado: (2014)

Approximate entropy and support vector machines for electroencephalogram signal classification
por: Zhang, Zhen, et al.
Publicado: (2013)

Support vector machine with quantile hyper-spheres for pattern classification
por: Chu, Maoxiang, et al.
Publicado: (2019)

Classification of Incidental Carcinoma of the Prostate Using Learning Vector Quantization and Support Vector Machines
por: Mattfeldt, Torsten, et al.
Publicado: (2004)

Multiple Sclerosis Lesions Segmentation in Magnetic Resonance Imaging using Ensemble Support Vector Machine (ESVM)
por: HosseiniPanah, S., et al.
Publicado: (2019)

Support vector machine based aphasia classification of transcranial magnetic stimulation language mapping in brain tumor patients
por: Wang, Ziqian, et al.
Publicado: (2020)

Correlation Kernels for Support Vector Machines Classification with Applications in Cancer Data
por: Jiang, Hao, et al.
Publicado: (2012)

Using Support Vector Machine Ensembles for Target Audience Classification on Twitter
por: Lo, Siaw Ling, et al.
Publicado: (2015)

Phylogeography and support vector machine classification of colour variation in panther chameleons
por: Grbic, Djordje, et al.
Publicado: (2015)

An automated mammogram classification system using modified support vector machine
por: Kayode, Aderonke Anthonia, et al.
Publicado: (2019)

Deep Learning-Based Imbalanced Classification With Fuzzy Support Vector Machine
por: Wang, Ke-Fan, et al.
Publicado: (2022)

Capped Linex Metric Twin Support Vector Machine for Robust Classification
por: Wang, Yifan, et al.
Publicado: (2022)

Bayesian Optimization with Support Vector Machine Model for Parkinson Disease Classification
por: Elshewey, Ahmed M., et al.
Publicado: (2023)

Gray Matter Volume and Functional Connectivity in Hypochondriasis: A Magnetic Resonance Imaging and Support Vector Machine Analysis
por: Shen, Zhe, et al.
Publicado: (2020)

Cancer Classification in Microarray Data using a Hybrid Selective Independent Component Analysis and υ-Support Vector Machine Algorithm
por: Saberkari, Hamidreza, et al.
Publicado: (2014)

Application of Genetic Algorithm-Based Support Vector Machine in Identification of Gene Expression Signatures for Psoriasis Classification: A Hybrid Model
por: Tapak, Leili, et al.
Publicado: (2021)

Support Vector Machines
por: Deng, Naiyang
Publicado: (2012)

Support vector machines
por: Steinwart, Ingo, et al.
Publicado: (2008)

Classification of genomic components and prediction of genes of Begomovirus based on subsequence natural vector and support vector machine
por: Pei, Shaojun, et al.
Publicado: (2020)

Support vector machines and perceptrons: learning, optimization, classification, and application to social networks
por: Murty, MN, et al.
Publicado: (2016)

GISMO—gene identification using a support vector machine for ORF classification
por: Krause, Lutz, et al.
Publicado: (2007)

Conotoxin protein classification using free scores of words and support vector machines
por: Zaki, Nazar, et al.
Publicado: (2011)

Classification and biomarker identification using gene network modules and support vector machines
por: Yousef, Malik, et al.
Publicado: (2009)

Fuzzy support vector machine: an efficient rule-based classification technique for microarrays
por: Hajiloo, Mohsen, et al.
Publicado: (2013)

Classification of Fruits Using Computer Vision and a Multiclass Support Vector Machine
por: Zhang, Yudong, et al.
Publicado: (2012)

miRBoost: boosting support vector machines for microRNA precursor classification
por: Tran, Van Du T., et al.
Publicado: (2015)

Cannot write session to /tmp/vufind_sessions/sess_0v6pkt4k39i6ojlgra4v4hkee0