基于医学影像的阿尔茨海默病检测技术综述

Marwa Zaabi, N. Smaoui, Walid Hariri, H. Derbel
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引用次数: 1

摘要

阿尔茨海默病(AD)的检测是医学成像处理中最强大和最具挑战性的任务之一。本文介绍了近十年来AD检测技术的发展概况。AD检测的过程可以包括预处理、特征提取、特征选择、降维、分割和分类等不同阶段。在这项调查中,我们回顾了最近的发现和未来的趋势,并列出了各种类型的AD检测技术及其主要贡献。根据应用的算法、方法和数据库(如OASIS、ADNI和MIRIAD),对最重要的AD检测技术的性能进行了比较和讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Medical Imaging-based Techniques for Alzheimer's Disease Detection: A Survey
Alzheimer's disease (AD) detection corresponds one of the most powerful and challenging tasks in medical imaging processing. This paper describes the survey of recent AD detection techniques in the last ten years. The process of AD detection can include different stages such as preprocessing, feature extraction, feature selection, dimensionality reduction, segmentation and classification. In this survey, we review the recent findings and future trends and we set out the various types of AD detection techniques with their major contributions. The performances of the most important AD detection techniques are compared and discussed according to the applied algorithms, approaches and databases (e.g. OASIS, ADNI and MIRIAD).
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