结合PET数据和心理评分的阿尔茨海默病与轻度认知障碍的自动鉴别

F. Segovia, C. Bastin, E. Salmon, J. Górriz, J. Ramírez, C. Phillips
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引用次数: 2

摘要

近年来,人们提出了几种开发痴呆症计算机辅助诊断系统的方法。这项工作的目的是衡量不仅使用大脑图像作为这些系统的数据源,而且还使用一些心理评分的优势。为此,我们比较了在分类步骤中使用图像数据旁边的心理分数的系统和仅使用图像数据的系统所取得的准确率。实验表明,无论采用何种方法对图像数据进行分析,其准确率都较高。
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Automatic Differentiation between Alzheimer's Disease and Mild Cognitive Impairment Combining PET Data and Psychological Scores
In recent years, several approaches to develop computer aided diagnosis systems for dementia have been proposed. The purpose of this work is to measure the advantages of using not only brain images as data source for those systems but also some psychological scores. To this aim, we compared the accuracy rates achieved by systems that use psychological scores beside the image data in the classification step and systems that use only the image data. The experiments show that the formers achieve higher accuracy rates regardless of the procedure carried out to analyze the image data.
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