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- Title
基于卷积神经网络的脑年龄预测模型研究综述.
- Authors
林 岚; 金 悦; 吴水才
- Abstract
Some typical research results of brain age prediction models based on convolutional neural network (CNN) were introduced when used in 2D slices, 3D image blocks and 3D whole brain images. The shortcomings of brain age prediction in terms of datasets and models were analyzed and its future directions were proposed. The CNN-based brain age prediction model was expected to be applied to the individualized diagnosis and treatment of neurodegenerative diseases, which had great clinical application values.
- Publication
Chinese Medical Equipment Journal, 2021, Vol 42, Issue 5, p86
- ISSN
1003-8868
- Publication type
Article
- DOI
10.19745/j.1003-8868.2021106