A novel 3D instance segmentation network for synapse reconstruction from serial electron microscopy images
文献类型：期刊论文
| 作者 | Liu, Jing1,2 ; Hong, Bei3,6; Xiao, Chi4; Zhai, Hao1,2,6; Shen, Lijun1,2; Xie, Qiwei5; Han, Hua1,2,6
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| 刊名 | EXPERT SYSTEMS WITH APPLICATIONS
 |
| 出版日期 | 2024-12-01 |
| 卷号 | 255页码:17 |
| 关键词 | Synapse Instance segmentation Deep learning Electron microscopy Connectomics |
| ISSN号 | 0957-4174 |
| DOI | 10.1016/j.eswa.2024.124562 |
| 通讯作者 | Xie, Qiwei(qiwei.xie@bjut.edu.cn) ; Han, Hua(hua.han@ia.ac.cn) |
| 英文摘要 | Synapses are fundamental components of how neurons communicate with each other and have attracted widespread attention from neuroscientists. Due to the rapid development of electron microscopy (EM) technology, imaging synapses at nanometer scale has become possible. However, the automation and efficacy of the synapse detection algorithm have not yet met expectations. The most popular approach involves a two-step process in which binary segmentation masks are first obtained and then connected components are used to produce reconstruction results. In this paper, an intelligent system to detect and segment synapses from serial section EM images is proposed. Specifically, a novel 3D instance segmentation network that can predict the synapses end-to-end is presented. The network can exploit and summarize features consistent with the biological structures of synapses, which is similar to the process of manual annotation. A block-wise inference strategy that adapts well to large-scale EM images is then introduced. Finally, two public datasets are used to evaluate our method. Experimental results demonstrate the superiority of the proposed approach, thus enabling computer-assisted analysis of synapses for neuroscientists. |
| WOS关键词 | CONNECTOMICS ; LOCALIZATION ; EXTRACTION ; CIRCUITS ; BIG |
| 资助项目 | STI 2030-Major Projects[2021ZD0204500] ; STI 2030-Major Projects[2021ZD0204503] ; National Natural Science Foundation of China[32171461] ; Scientific research instrument and equipment development project of Chinese Academy of Sciences[YJKYYQ20210022] |
| WOS研究方向 | Computer Science ; Engineering ; Operations Research & Management Science |
| 语种 | 英语 |
| WOS记录号 | WOS:001265494700001 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 资助机构 | STI 2030-Major Projects ; National Natural Science Foundation of China ; Scientific research instrument and equipment development project of Chinese Academy of Sciences |
| 源URL | [http://ir.ia.ac.cn/handle/173211/59175]  |
| 专题 | 类脑智能研究中心_微观重建与智能分析 |
| 通讯作者 | Xie, Qiwei; Han, Hua |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, Key Lab Brain Cognit & Brain inspired Intelligence, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Lab Brain Atlas & Brain Inspired Intelligence, Inst Automat, Beijing 100190, Peoples R China 3.Changping Lab, Beijing 102206, Peoples R China 4.Hainan Univ, Sch Biomed Engn, State Key Lab Digital Med Engn, Sanya 572025, Peoples R China 5.Beijing Univ Technol, Res Base Beijing Modern Mfg Dev, Beijing 100124, Peoples R China 6.Univ Chinese Acad Sci, Sch Artificial Intelligence, Sch Future Technol, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Jing,Hong, Bei,Xiao, Chi,et al. A novel 3D instance segmentation network for synapse reconstruction from serial electron microscopy images[J]. EXPERT SYSTEMS WITH APPLICATIONS,2024,255:17. |
| APA | Liu, Jing.,Hong, Bei.,Xiao, Chi.,Zhai, Hao.,Shen, Lijun.,...&Han, Hua.(2024).A novel 3D instance segmentation network for synapse reconstruction from serial electron microscopy images.EXPERT SYSTEMS WITH APPLICATIONS,255,17. |
| MLA | Liu, Jing,et al."A novel 3D instance segmentation network for synapse reconstruction from serial electron microscopy images".EXPERT SYSTEMS WITH APPLICATIONS 255(2024):17. |
入库方式： OAI收割
来源：自动化研究所
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