Alzheimer's Disease Diagnosis With Brain Structural MRI Using Multiview-Slice Attention and 3D Convolution Neural Network
文献类型：期刊论文
| 作者 | Chen, Lin1 ; Qiao, Hezhe1,2; Zhu, Fan1
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| 刊名 | FRONTIERS IN AGING NEUROSCIENCE
 |
| 出版日期 | 2022-04-26 |
| 卷号 | 14页码:13 |
| 关键词 | Alzheimer's disease (AD) disease prognosis multi-view-slice attention 3D convolution neural network brain sMRI image |
| ISSN号 | 1663-4365 |
| DOI | 10.3389/fnagi.2022.871706 |
| 通讯作者 | Chen, Lin(chenlin@cigit.ac.cn) |
| 英文摘要 | Numerous artificial intelligence (AI) based approaches have been proposed for automatic Alzheimer's disease (AD) prediction with brain structural magnetic resonance imaging (sMRI). Previous studies extract features from the whole brain or individual slices separately, ignoring the properties of multi-view slices and feature complementarity. For this reason, we present a novel AD diagnosis model based on the multiview-slice attention and 3D convolution neural network (3D-CNN). Specifically, we begin by extracting the local slice-level characteristic in various dimensions using multiple sub-networks. Then we proposed a slice-level attention mechanism to emphasize specific 2D-slices to exclude the redundancy features. After that, a 3D-CNN was employed to capture the global subject-level structural changes. Finally, all these 2D and 3D features were fused to obtain more discriminative representations. We conduct the experiments on 1,451 subjects from ADNI-1 and ADNI-2 datasets. Experimental results showed the superiority of our model over the state-of-the-art approaches regarding dementia classification. Specifically, our model achieves accuracy values of 91.1 and 80.1% on ADNI-1 for AD diagnosis and mild cognitive impairment (MCI) convention prediction, respectively. |
| 资助项目 | National Nature Science Foundation of China[61902370] ; National Nature Science Foundation of China[61802360] ; Chongqing Municipal Education Commission[HZ2021008] ; Chongqing Municipal Education Commission[HZ2021017] |
| WOS研究方向 | Geriatrics & Gerontology ; Neurosciences & Neurology |
| 语种 | 英语 |
| WOS记录号 | WOS:000795098300001 |
| 出版者 | FRONTIERS MEDIA SA |
| 源URL | [http://119.78.100.138/handle/2HOD01W0/16206]  |
| 专题 | 中国科学院重庆绿色智能技术研究院 |
| 通讯作者 | Chen, Lin |
| 作者单位 | 1.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing Key Lab Big Data & Intelligent Comp, Chongqing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Lin,Qiao, Hezhe,Zhu, Fan. Alzheimer's Disease Diagnosis With Brain Structural MRI Using Multiview-Slice Attention and 3D Convolution Neural Network[J]. FRONTIERS IN AGING NEUROSCIENCE,2022,14:13. |
| APA | Chen, Lin,Qiao, Hezhe,&Zhu, Fan.(2022).Alzheimer's Disease Diagnosis With Brain Structural MRI Using Multiview-Slice Attention and 3D Convolution Neural Network.FRONTIERS IN AGING NEUROSCIENCE,14,13. |
| MLA | Chen, Lin,et al."Alzheimer's Disease Diagnosis With Brain Structural MRI Using Multiview-Slice Attention and 3D Convolution Neural Network".FRONTIERS IN AGING NEUROSCIENCE 14(2022):13. |
入库方式： OAI收割
来源：重庆绿色智能技术研究院
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