Optimal classification for the diagnosis of duchenne muscular dystrophy images using support vector machines.

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Optimal classification for the diagnosis of duchenne muscular dystrophy images using support vector machines.

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Optimal classification for the ...... using support vector machines.

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Optimal classification for the ...... using support vector machines.

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Optimal classification for the ...... using support vector machines.

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P1476

Optimal classification for the ...... using support vector machines.

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P2093

Jun-Shan Ma

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Ming-Huan Zhang

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Ying Chen

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Ying Shen

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P2860

Dystrophin: the protein product of the Duchenne muscular dystrophy locus

rAAV6-microdystrophin preserves muscle function and extends lifespan in severely dystrophic mice.

Multicategory classification of 11 neuromuscular diseases based on microarray data using support vector machine.

Classification of brain tumor type and grade using MRI texture and shape in a machine learning scheme.

A learning-based similarity fusion and filtering approach for biomedical image retrieval using SVM classification and relevance feedback.

Data mining methods in the prediction of Dementia: A real-data comparison of the accuracy, sensitivity and specificity of linear discriminant analysis, logistic regression, neural networks, support vector machines, classification trees and random fo

Nonsense mutation-associated Becker muscular dystrophy: interplay between exon definition and splicing regulatory elements within the DMD gene.

Phase 1 gene therapy for Duchenne muscular dystrophy using a translational optimized AAV vector.

Adeno-associated virus vector carrying human minidystrophin genes effectively ameliorates muscular dystrophy in mdx mouse model.

Individual patient diagnosis of AD and FTD via high-dimensional pattern classification of MRI.

P2888

s11548-015-1312-0

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1755-1763

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scholarly article

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10.1007/S11548-015-1312-0

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2015-10-17T00:00:00Z

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26476638

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P921

support vector machine