CLASSIFICATION OF ALZHEIMER DISEASE BASED ON STRUCTURAL MAGNETIC RESONANCE IMAGING BY KERNEL SUPPORT VECTOR MACHINE DECISION TREE
出版年份 2014 全文链接
标题
CLASSIFICATION OF ALZHEIMER DISEASE BASED ON STRUCTURAL MAGNETIC RESONANCE IMAGING BY KERNEL SUPPORT VECTOR MACHINE DECISION TREE
作者
关键词
-
出版物
Progress in Electromagnetics Research-PIER
Volume 144, Issue -, Pages 171-184
出版商
EMW Publishing
发表日期
2014-02-06
DOI
10.2528/pier13121310
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- AN MR BRAIN IMAGES CLASSIFIER VIA PRINCIPAL COMPONENT ANALYSIS AND KERNEL SUPPORT VECTOR MACHINE
- (2014) Yudong Zhang et al. Progress in Electromagnetics Research-PIER
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- (2013) Babak A. Ardekani et al. Brain Structure & Function
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- (2013) Wook Lee et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Performance assessment of different data mining methods in statistical downscaling of daily precipitation
- (2013) M. Nasseri et al. JOURNAL OF HYDROLOGY
- Different patterns of gray matter atrophy in early- and late-onset Alzheimer’s disease
- (2013) Christiane Möller et al. NEUROBIOLOGY OF AGING
- Selectively and progressively disrupted structural connectivity of functional brain networks in Alzheimer's disease — Revealed by a novel framework to analyze edge distributions of networks detecting disruptions with strong statistical evidence
- (2013) Klaus Hahn et al. NEUROIMAGE
- LVQ-SVM based CAD tool applied to structural MRI for the diagnosis of the Alzheimer’s disease
- (2013) Andrés Ortiz et al. PATTERN RECOGNITION LETTERS
- Progression of Alzheimer’s disease as measured by Clinical Dementia Rating Sum of Boxes scores
- (2012) Monique M. Williams et al. Alzheimers & Dementia
- Use of principal component analysis for automatic classification of epileptic EEG activities in wavelet framework
- (2012) U. Rajendra Acharya et al. EXPERT SYSTEMS WITH APPLICATIONS
- Gray matter network associated with risk for Alzheimer's disease in young to middle-aged adults
- (2012) Gene E. Alexander et al. NEUROBIOLOGY OF AGING
- Classification of Fruits Using Computer Vision and a Multiclass Support Vector Machine
- (2012) Yudong Zhang et al. SENSORS
- An effective procedure exploiting unlabeled data to build monitoring system
- (2011) Xiukuan Zhao et al. EXPERT SYSTEMS WITH APPLICATIONS
- Acceleration of the alternating least squares algorithm for principal components analysis
- (2010) Masahiro Kuroda et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
- Diagnostic study on arrhythmia cordis based on particle swarm optimization-based support vector machine
- (2010) Sheng-wei Fei EXPERT SYSTEMS WITH APPLICATIONS
- Automatic classification of patients with Alzheimer's disease from structural MRI: A comparison of ten methods using the ADNI database
- (2010) Rémi Cuingnet et al. NEUROIMAGE
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- (2010) M. Arun Kumar et al. PATTERN RECOGNITION
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- (2009) J. Camacho et al. ANALYTICA CHIMICA ACTA
- SVM-based CAD system for early detection of the Alzheimer's disease using kernel PCA and LDA
- (2009) M.M. López et al. NEUROSCIENCE LETTERS
- Computational load reduction in decision functions using support vector machines
- (2009) J. Acevedo-Rodríguez et al. SIGNAL PROCESSING
- Intracranial volume, brain volume, reserve volume and morphological signs of increased intracranial pressure – A post-mortem analysis
- (2008) H. Maxeiner et al. Legal Medicine
- Choosing the kernel parameters for support vector machines by the inter-cluster distance in the feature space
- (2008) Kuo-Ping Wu et al. PATTERN RECOGNITION
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