人工神经网络在头部多光谱磁共振图像组织分类中的应用

[1990] Proceedings. Third Annual IEEE Symposium on Computer-Based Medical Systems Pub Date : 1990-06-03 DOI:10.1109/CBMSYS.1990.109419

J. D. Schellenberg, W. C. Naylor, L. Clarke

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引用次数: 11

摘要

探讨了人工神经网络(ann)在多谱磁共振图像分类中的适用性。检查各种组织和幻影的MSMRI特征空间分布，以确定数据是否更适合ANN分类，而不是基于强度的经典贝叶斯方法。此外，研究了MSMRI归一化方法，以确定是否适合改进独立于分类方法的特征空间分布。

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Application of artificial neural networks for tissue classification from multispectral magnetic resonance images of the head

The suitability of artificial neural networks (ANNs) for the classification of multispectral magnetic resonance images (MSMRI) is explored. MSMRI feature space distributions of various tissues and phantoms were examined to determine if the data is more suitable for ANN classification, as opposed to classical Bayesian approaches for intensity-based classification. Additionally, MSMRI normalization methods were investigated to determine suitability for improving feature space distributions independent of classification methods.<>

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[1990] Proceedings. Third Annual IEEE Symposium on Computer-Based Medical Systems

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