Knowledge Commons of Institute of Automation,CAS
Attention-based 3D Convolutional Network for Biomarkers Exploration | |
Jin, Dan1,2![]() ![]() ![]() ![]() ![]() ![]() ![]() | |
2019-04 | |
会议名称 | IEEE International Symposium on Biomedical Imaging |
会议日期 | April 8-11, 2019 |
会议地点 | Venice, Italy |
出版者 | IEEE |
摘要 | Modern advancements in deep learning provide a powerful framework for disease classification based on neuroimaging data. However, interpreting the classification decision of convolutional neural network remains a challenging task. It is crucial to track the attention of neural network and provide valuable information about which brain areas are particularly related to the diagnosis of disease. In this paper, we propose a novel attention-based 3D ResNet architecture to diagnose explore potential biological markers. Experiments are conducted on 532 subjects (227 of patients with AD and 305 of normal controls). By introducing the attention mechanism, the proposed approach further improves the classification performance and identifies important brain regions for AD classification simultaneously. The experiments also show that significant brain regions for AD diagnosis captured by our attention-based network are accompanied by significant changes in gray matter. |
语种 | 英语 |
七大方向——子方向分类 | 脑网络分析 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/39155 |
专题 | 脑图谱与类脑智能实验室_脑网络组研究 |
作者单位 | 1.Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China 2.University of Chinese Academy of Sciences, Beijing, China 3.State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China 4.Shandong Normal University, Jinan, China 5.Harbin University of Science and Technology, Harbin, China 6.CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China |
第一作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Jin, Dan,Xu, Jian,Zhao, Kun,et al. Attention-based 3D Convolutional Network for Biomarkers Exploration[C]:IEEE,2019. |
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ISBI.pdf(210KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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