Description: 一个用于MRI和CT图像检索的程序，使用了SVM分类算法和AdaptBoost自适应增强算法。-for an MRI and CT image retrieval procedures, the use of SVM classification algorithm and AdaptBoost adaptive enhancement algorithms. Platform: |
Size: 15692258 |
Author:chenxin |
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Description: 一个用于MRI和CT图像检索的程序，使用了SVM分类算法和AdaptBoost自适应增强算法。-for an MRI and CT image retrieval procedures, the use of SVM classification algorithm and AdaptBoost adaptive enhancement algorithms. Platform: |
Size: 15691776 |
Author:chenxin |
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Description: A basic PCA classifier is provided here for a two class classification problem.
An example is given, with some multimodal MRI scans from Multiple Sclerosis patients, in which the brain lesions of two patients are annotated and in the third are detected by the PCA model. Platform: |
Size: 1327104 |
Author:AhmedMrc |
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Description: 磁共振成像仪的基本硬件,脉冲序列的基本概念和分类,MRI常规质控指标,MRI的优缺点-Magnetic resonance imaging of the basic hardware, pulse sequence and classification of the basic concepts, MRI routine quality control indicators, MRI of the advantages and disadvantages Platform: |
Size: 954368 |
Author:liaozw |
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Description: resonance imaging (MRI) data and estimation
of intensity inhomogeneities using fuzzy logic. MRI intensity
inhomogeneities can be attributed to imperfections in the
radio-frequency coils or to problems associated with the acquisition
sequences. The result is a slowly varying shading artifact
over the image that can produce errors with conventional intensity-
based classification. Our algorithm is formulated by modifying
the objective function of the standard fuzzy c-means (FCM) algorithm
to compensate for such inhomogeneities and to allow the labeling
of a pixel (voxel) to be influenced by the labels in its immediate
neighborhood. The neighborhood effect acts as a regularizer
and biases the solution toward piecewise-homogeneous labelings.
Such a regularization is useful in segmenti Platform: |
Size: 227328 |
Author:yangs |
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Search - MRI classification