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基于耦合的卷积-图卷积神经网络的阿尔茨海默病的磁共振诊断方法
OBJECTIVE: To propose a coupled convolutional and graph convolutional network (CCGCN) model for diagnosis of Alzheimer's disease (AD) and its prodromal stage. METHODS: The disease-related brain regions generated by group-wise comparison were used as the input. The convolutional neural networks...
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| 出版年: | Nan Fang Yi Ke Da Xue Xue Bao |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
南方医科大学学报编辑部
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7225102/ https://ncbi.nlm.nih.gov/pubmed/32895137 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.12122/j.issn.1673-4254.2020.04.13 |
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