利用深度学习从脑MRI图像中估计年龄

Tzu-Wei Huang, Hwann-Tzong Chen, Ryuichi Fujimoto, Koichi Ito, Kai Wu, Kazunori Sato, Y. Taki, H. Fukuda, T. Aoki
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引用次数: 48

摘要

从脑磁共振图像估计人的年龄对阿尔茨海默病的早期检测是有用的。本文提出了一种基于深度学习的快速准确的受试者年龄预测方法。与以前的方法相比,我们的算法使用更少的输入图像达到了相当的精度。使用我们的GPU版本程序,进行预测所需的时间是20毫秒。我们使用平均绝对误差(MAE)来评估我们的方法,我们的方法能够预测受试者的年龄,MAE为4.0岁。
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Age estimation from brain MRI images using deep learning
Estimating human age from brain MR images is useful for early detection of Alzheimer's disease. In this paper we propose a fast and accurate method based on deep learning to predict subject's age. Compared with previous methods, our algorithm achieves comparable accuracy using fewer input images. With our GPU version program, the time needed to make a prediction is 20 ms. We evaluate our methods using mean absolute error (MAE) and our method is able to predict subject's age with MAE of 4.0 years.
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