深度学习在阿尔茨海默病分类诊断领域的应用

聂 永琦
齐鲁医药学院　医学影像学院

摘要


阿尔兹海默症是一种发生于老年人群体的神经退行性疾病，早期诊断能够显著延缓记忆力衰退的速率。深
度学习方法可以挖掘医学图像中隐含的信息并完成疾病分类，因此使用深度学习方法实现阿尔兹海默病分类诊断成
为研究热点。主要从分类精度、小样本问题和模型可解释性四个方面进行详细介绍，对各类方法的网络结构形式、
改进方案及优缺点总结等内容进行整理，并结合当前检测方法面临的挑战，对未来研究进行展望。

关键词


阿尔兹海默症；深度学习；图像分类；卷积神经网络

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